j4rk0r/claude-skills

A collection of expert-grade skills for Claude Code, each rigorously tested and scored A+.

j4rk0r/claude-skills

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Expert-grade skills for Claude Code. Every skill scored A+ (120/120) before shipping.

Install all

npx skills add j4rk0r/claude-skills --yes --global

Or install individually:

npx skills add j4rk0r/claude-skills@skill-guard -y -g

npx skills add j4rk0r/claude-skills@skill-advisor -y -g

npx skills add j4rk0r/claude-skills@skill-learner -y -g

npx skills add j4rk0r/claude-skills@codex-diff-develop -y -g

npx skills add j4rk0r/claude-skills@codex-pr-review -y -g

npx skills add j4rk0r/claude-skills@lint-drupal-module -y -g

npx skills add j4rk0r/claude-skills@milestone -y -g

npx skills add j4rk0r/claude-skills@usage-tracker -y -g

Skills

SkillWhat it does
skill-guardSecurity auditor — 9-layer threat detection for skills before installation. Community audit registry.
skill-advisorBuilds execution plans that combine your installed skills with gaps you're missing — then offers to install them. Never start a task under-equipped.
skill-learnerCaptures mistakes and persists corrections so the same error never happens twice. Works for skills AND general Claude behavior. Optionally generates improvement proposals for skill authors.
codex-diff-developDrupal 11 code review of the current branch vs develop using the Codex methodology — 18 production-tested rules with the why behind each one. Generates a structured .md report.
codex-pr-reviewDrupal 11 pull request review using the Codex methodology — same 18 rules as codex-diff-develop but fetches the PR via git fetch origin pull/<N>/head so you can audit any GitHub PR.
lint-drupal-moduleParallelized Drupal 11 lint review combining 4 sources — PHPStan level 5, PHPCS Drupal/DrupalPractice, drupal-qa agent (standards) and drupal-security agent (OWASP). Full or diff mode. Consolidates everything into a single actionable report with P0/P1/P2 actions.
milestonePersistent development tracker v2 with two-tier cache (memory snapshots + authoritative files). Classifies subtasks as [simple]/[complex], requires plans before complex work. Token-efficient: 99% cheaper loads via memory, 3-Edit→Write rule, fresh session command.
usage-trackerPostToolUse hook that logs every tool call into ~/.claude/usage.jsonl. See exactly how much each user request costs — by project, session, day, and tool.

skill-guard

You install a skill. It reads your ~/.ssh, grabs your $GITHUB_TOKEN, and sends it to a remote server. You never notice.

skill-guard prevents this. It audits skills before installation using 9 analysis layers — from static patterns to LLM semantic analysis that detects prompt injection disguised as normal instructions.

How it works

You want to install a skill
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skill-guard checks the community audit registry
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Already audited (same SHA)?  --> Shows previous report
Not audited?                 --> "Run security analysis?"
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9-layer analysis: permissions, patterns, scripts,
data flow, MCP abuse, supply chain, reputation...
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Score 0-100 → GREEN / YELLOW / RED
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GREEN: auto-install | YELLOW: you decide | RED: strong warning

Core: 8 NEVER rules

Each rule exists because of a real attack pattern observed in the wild:

  1. NEVER execute a script before reading its source — "don't read the source" is social engineering
  2. NEVER trust a SKILL.md's claims — the description is marketing; the code is truth
  3. NEVER dismiss findings because surrounding code looks legit — trojans hide in 5% of the code
  4. NEVER skip LLM semantic analysis — sophisticated attacks use natural language
  5. NEVER pass skills without allowed-tools as GREEN — missing = unlimited access
  6. NEVER ignore MCP references in non-MCP skills — biggest blind spot in the permission model
  7. NEVER treat base64 as automatically suspicious — context determines severity
  8. NEVER report "what" without "why" — findings must explain the threat

The 9 layers

  1. Frontmatter & Permissions (20%) — Missing allowed-tools? Unrestricted Bash? Description hijacking?
  2. Static Patterns (15%) — URLs, IPs, sensitive paths, dangerous commands, env vars, obfuscation
  3. LLM Semantic Analysis (30%) — Prompt injection, trojans, social engineering, time bombs
  4. Bundled Scripts (15%) — Reads EVERY script. Dangerous imports, obfuscation, data exfiltration
  5. Data Flow (10%) — Maps source → destination. Sensitive data reaching external URLs = confirmed threat
  6. MCP & Tools (0%) — Undeclared MCP server usage, exfiltration via Slack/GitHub/Monday
  7. Supply Chain (2%) — Typosquatting, unpinned versions, fake repos
  8. Reputation (3%) — Author profile, repo age, trojan forks
  9. Anti-Evasion (5%) — Unicode tricks, homoglyphs, self-modification, environment fingerprinting

Two analysis modes

  • Full Audit — All 9 layers, complete report, registry persistence
  • Quick Scan — Layers 1+2+3 only. Auto-escalates to full audit if HIGH/CRITICAL found

Community audit registry

Every audit is saved to skills/skill-guard/audits/. Before analyzing, skill-guard checks if someone already audited that version. Instant results if SHA matches.

Trust model: Only the system generates and publishes audit results. Community members request audits via PR to audits/requests/ — the maintainer runs skill-guard and publishes the result. This prevents tampered audits from entering the registry.

Practices what it preaches

skill-guard declares its own allowed-tools with restricted Bash patterns — no unrestricted execution.

Install

npx skills add j4rk0r/claude-skills@skill-guard --yes --global

skill-advisor

You install 50 skills. You use 5. The other 45 collect dust.

skill-advisor fixes this. It sits between you and Claude, analyzing every instruction to build a complete execution plan — matching installed skills AND identifying gaps you're missing — before any work begins.

How it works

You type an instruction
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skill-advisor scans your installed skills
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Matches found? --> Builds plan with 3-12 steps, ranked by impact
Gaps found?    --> Marks them with ❌, offers to install
No match?      --> Proceeds silently

Two modes

Pre-action — Before Claude starts working, recommends skills that would improve the outcome:

> "fix this login bug"

Skill evaluation:
1. /systematic-debugging — matches "bug, test failure, unexpected behavior"
2. /webapp-testing — verify the fix after

Proceed with these? Or directly without skill?

Post-action — After completing work, suggests the logical next step:

> [code modified]

Recommended skills:
1. /webapp-testing — code was modified, tests needed
2. /verification-before-completion — before claiming done

What makes it different

  • Reads YOUR skills — No hardcoded list. Scans the system-reminder dynamically. Install a new skill and skill-advisor sees it immediately.
  • Thinks laterally — "make it look better" matches design skills, animation skills, AND accessibility audit skills. Not just literal keyword matching.
  • Knows when to shut up — Simple tasks (rename a variable, read a file) get no recommendations. It asks itself: "would the user thank me or be annoyed?"
  • Recommends pipelines — Detects multi-step scenarios and suggests the full combo: brainstorming → writing-plans → subagent-driven-development.
  • Gap analysis is mandatory — Every plan shows installed skills (✅) AND missing skills (❌) side by side. Offers to install gaps one by one.

First run

On first explicit invocation (/skill-advisor), it scans your ecosystem and reports what it found:

Ecosystem detected:
- 47 skills installed (global + project)
- Categories: debugging, testing, frontend, docs, planning, ...
- Ready to recommend on every instruction.

Install

npx skills add j4rk0r/claude-skills@skill-advisor --yes --global

skill-learner

Claude apologizes, promises to do better — then makes the exact same mistake next session.

skill-learner breaks that cycle. When a skill or Claude itself gets something wrong, it captures what went wrong, why, and what to do instead — as a persistent correction file that survives across sessions.

How it works

Something went wrong
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skill-learner detects which skill (or general behavior) failed
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Asks focused questions until it understands the mistake
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Saves a structured correction to ~/.claude/skill-corrections/
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Next time that skill runs → correction is available
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Optionally: generates an improvement proposal for the skill author

Key features

  • Auto-detects the failing skill from conversation context — doesn't ask if obvious
  • Deduplicates — checks INDEX.md before creating, merges if same issue exists
  • 9 NEVER rules — prevents vague corrections, duplicates, scope creep, and security bypass
  • Cold-reader test — verifies each correction is clear enough for a different agent in a different session
  • Improvement proposals — generates author-ready proposals with diffs, saved locally for the user to submit
  • Bilingual — writes corrections in the user's language to preserve nuance

Install

npx skills add j4rk0r/claude-skills@skill-learner --yes --global

codex-diff-develop

Your linter says "looks good" — and three weeks later production breaks because of a hook that only runs on update, not on insert.

codex-diff-develop is a Drupal 11 code review skill that audits the diff of your current branch against develop using the Codex methodology: 18 production-tested rules with the why behind each one. It catches the bugs your linter misses — the ones that only show up at 3am after deploy.

How it works

You: "revisión diff develop"
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Detects context: branch, drupal/ subdir, file types in diff
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Loads MANDATORY references (18 Codex rules + 14 finding templates)
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Applies the 5-question Codex framework
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Decision tree picks Codex rules per file type
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Reviews ONLY the diff, no out-of-scope suggestions
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Auto-detects IDE → writes report to .vscode/.cursor/.antigravity
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Self-verifies against 12-item checklist before delivering

The 18 Codex rules — each with a scar

Each rule includes the why (the production incident that taught it). A few examples:

  1. hook_entity_insert vs _update completeness — logic only in _update skips brand-new entities until someone edits them
  2. Aggregates (MAX/MIN/COUNT) on empty tables return NULL, not 0 — $max + 1 becomes incoherent on the first record
  3. External APIs without connect_timeout — slow provider blocks queue workers and exhausts PHP-FPM
  4. Unjustified accessCheck(FALSE) — silent permission bypass nobody reviews in future PRs
  5. Idempotency on retry/double-click — duplicate orders, duplicate emails, duplicate charges
  6. No kill-switch — 3am incidents with no time to redeploy
  7. Custom blocks/formatters without getCacheableMetadata() — silently breaks BigPipe and Dynamic Page Cache

Full list with detailed why in references/metodologia-codex-completa.md.

NEVER list — 15 Drupal-specific anti-patterns

Things you only learn from real incidents:

  • NEVER mark a style finding as "Alta" — dilutes severity, the team stops reading
  • NEVER suggest refactors outside the diff except for critical security
  • NEVER approve loadMultiple([]) — returns ALL entities (memory leak classic)
  • NEVER approve Batch API without finished callback handling failure
  • NEVER approve EntityFieldManagerInterface::getFieldStorageDefinitions() without verifying field exists — zombie field storage after delete

Five-question Codex framework

Before reviewing any chunk:

  1. What kind of change is this? — determines applicable Codex rules
  2. What's the worst-case in production? — sets the severity floor
  3. What does the change assume that's outside the diff? — schema, permissions, indexes
  4. Is it idempotent? — retry, double-click, re-deploy
  5. Can it be turned off? — kill-switch for 3am incidents

A worked mini-example walks through applying these to a hypothetical diff.

Output

Structured .md report with:

  • Executive summary + severity counts
  • Findings by category (Security, Codex logic, Standards/DI, Performance, A11y/i18n, Tests/CI)
  • Risks table
  • Prioritized action list
  • "Lo positivo" section (because praise belongs in PRs too)
  • Final checklist

Each finding follows Problema (Severidad) → Riesgo → Solución with adapted code from 14 templates in references/.

IDE auto-detection

Reads CLAUDE_CODE_ENTRYPOINT first. Falls back to folder existence only if env var is inconclusive. This prevents writing reports to a legacy .cursor/ folder when you're actually in VS Code.

Evaluation

  • /skill-judge: 120/120 (Grade A+)
  • /skill-guard: 100/100 (GREEN) — declares minimal allowed-tools, zero network, zero MCP

Install

npx skills add j4rk0r/claude-skills@codex-diff-develop --yes --global

codex-pr-review

Your reviewer says "LGTM" — and three weeks later production breaks because of a hook that only fires on update.

codex-pr-review is the sister skill of codex-diff-develop for remote pull requests. Same Codex methodology, same 18 rules, same finding templates — but fetches the PR via git fetch origin pull/<N>/head so you can audit any GitHub PR by number.

How it works

You: "revisión Codex PR #42 develop ← feature/alejandro"
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Confirms PR number and branches (asks if missing)
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git fetch origin pull/42/head:pr-42
git diff origin/develop...pr-42
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Loads MANDATORY references (same as codex-diff-develop)
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Applies 5-question Codex framework + decision tree
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Reviews ONLY the PR diff
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Auto-detects IDE → writes report to <ide>/Revisiones PRs/lint-review-prNN.md
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Self-verifies against 13-item checklist before delivering

What's different from codex-diff-develop

The two skills are functional twins. The differences:

Aspectcodex-diff-developcodex-pr-review
Source of diffgit diff origin/develop...HEADgit fetch origin pull/<N>/head + git diff base...pr-<N>
Output folderRevisiones diff/Revisiones PRs/
File namelint-review-diff-develop-<branch>.mdlint-review-pr<N>.md
Triggers"diff develop", "codex diff""revisión PR", "revisar PR #N", "codex PR"
Extra NEVER—"NUNCA referenciar otros PRs en el documento" — classic of reviewers who mix discussions
Extra edge cases—GitLab fallback (merge-requests/<N>/head), PR already merged, missing PR number
Pre-requisite—Asks for PR number if not provided

When to use which

  • codex-diff-develop: you're working locally on a branch and want to review your own changes before pushing or opening a PR
  • codex-pr-review: you want to review someone else's PR (or your own after pushing it) without checking out the branch locally

Evaluation

  • /skill-judge: 120/120 (Grade A+)
  • /skill-guard: 100/100 (GREEN) — declares minimal allowed-tools, zero network upload, zero MCP

Install

npx skills add j4rk0r/claude-skills@codex-pr-review --yes --global

lint-drupal-module

Your manual code review finds 29 issues. You run PHPStan and PHPCS by hand. You ask a reviewer for security and standards. 45 minutes later you finally have a consolidated view — and you missed 140 JS violations because nobody ran PHPCS against the module's JavaScript.

lint-drupal-module runs four sources in parallel — PHPStan level 5 (with phpstan-drupal), PHPCS Drupal/DrupalPractice, a drupal-qa agent for standards, and a drupal-security agent for OWASP vectors — and consolidates the findings into a single actionable report. What used to be 12 manual steps and 30 minutes is now one invocation that finishes in the time the slowest source takes (2-5 min full, 30s-1min diff).

How it works

You: "lint review del módulo chat_soporte_tecnico_ia"
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Identifies the module (by name, path, or Glob)
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Picks the mode: full (default) | diff (vs develop)
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Detects DDEV / local composer, installs PHPStan if missing (asks first)
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Loads references/prompts-agentes.md (mandatory before invoking agents)
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Launches 4 sources in parallel, same message:
  • Agent drupal-qa       (standards)
  • Agent drupal-security (OWASP)
  • PHPStan level 5
  • PHPCS Drupal/DrupalPractice
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Consolidates all four outputs into one markdown report
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Auto-detects IDE → <ide>/Lint reviews/lint-review-<module>-<mode>-<branch>.md
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Summarizes top blockers and asks:
  "arregla todo" / "solo crítico" / "auto-fix PHPCS" / "déjalo así"

Two modes

ModeWhen to useSpeed
Full (default)Before release, new modules, periodic audits~2-5 min
DiffMid-development, pre-push, only new changes vs develop~30s-1min

What it catches that manual reviews miss

Validated against a real Drupal 11 module (32 files). A manual agent-only review flagged 29 issues. Running the skill's full parallelized pipeline surfaced 65 issues — including 166 PHPCS violations on the module's JavaScript (most auto-fixable with phpcbf) that the manual reviewer never checked because JS was outside its scope.

That's the point: a lint review is only as good as its weakest layer. Combining static analysis, style enforcement and expert agents in parallel catches things no single source sees.

Report structure (fixed)

  1. Executive summary — findings per source, top 5 blockers, categorical verdict
  2. PHPStan level 5 — errors grouped by file
  3. PHPCS Drupal/DrupalPractice — violations grouped by file
  4. Standards (drupal-qa) — findings by severity with fix suggestions
  5. Security (drupal-security) — vulnerabilities classified 🔴 CRITICAL / 🟠 HIGH / 🟡 MEDIUM / 🟢 LOW / ℹ️ INFO
  6. Prioritized actions — P0 blockers, P1 recommended, P2 improvements
  7. Best practices coverage — checklist of strict_types, OOP hooks, DI, CSRF, cache metadata, etc.
  8. Verification commands — exact commands to re-run locally

Core NEVER rules

  1. NEVER modifies files during the skill. Reports only. Fixes are a separate phase with explicit user confirmation.
  2. NEVER runs the 4 sources in separate messages. Parallelization is the core value; serial is 4× slower.
  3. NEVER lists Unsafe usage of new static() in Controllers as a blocker — known false positive of phpstan-drupal.
  4. NEVER removes FQCN aliases in services.yml without checking Hook OOP type-hint usage — known way to break drush cr.
  5. NEVER runs phpcbf over JavaScript files — the Drupal standard converts null/true/false to NULL/TRUE/FALSE in JS, breaking the code at runtime. Always use --extensions=php,module,inc,install,profile,theme and --ignore='*/js/*'.

Relation with sister skills

  • codex-diff-develop → reviews business logic on the diff (complements this skill)
  • codex-pr-review → architectural PR review (one level above)
  • Ideal pre-merge workflow: lint-drupal-module → mechanical fixes → codex-diff-develop → logic fixes → codex-pr-review → merge

Install

npx skills add j4rk0r/claude-skills@lint-drupal-module --yes --global

milestone

You finished a feature across 3 conversations. The 4th starts from zero because context doesn't survive.

milestone v2 stores everything needed to resume development in any future conversation — with a two-tier cache that makes loading 99% cheaper than reading the full file.

How it works

You: "/milestone dashboard"
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Reads memory snapshot (zero file reads — already in context)
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Displays: objective, pending subtasks, decisions, last context entry
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Classifies subtasks: [simple] → execute | [complex] → plan first
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After work: updates milestone file + regenerates memory snapshot
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Next conversation: instant context from memory, ready to continue

Commands

PhaseCommandWhat it does
Discovery/milestoneList all milestones with status and progress
Discovery/milestone <name>Load context (fuzzy match — "dash" finds "dashboard-propietario")
Planning/milestone init <name>Create new with codebase-aware subtask proposals
Execution/milestone start <name>Open fresh terminal with compact context pre-loaded
Execution/milestone done <name> <subtask>Mark subtask complete with minimal edit
Review/milestone update <name>Bulk session update — mark tasks, log decisions

What's new in v2

  • Two-tier cache — memory snapshot (~100 tok) for reads, authoritative file for full history. 99% cheaper loads.
  • Complexity classification — [simple] (1 file) vs [complex] (multi-file). Complex subtasks are blocked until a plan exists.
  • Token efficiency — 3+ changes to same file → single Write (10x cheaper). No re-reading files in context.
  • Fresh session command — /milestone start opens claude in a new terminal, eliminating the 5-10x cost from accumulated context.
  • 12 NEVER rules — covering split-brain, stale snapshots, edit anti-patterns, and scope control.

Evaluation

  • /skill-judge: 120/120 (Grade A+)
  • /skill-guard: 92/100 (GREEN) — no scripts during normal operation, no network, no MCP.

Install

npx skills add j4rk0r/claude-skills@milestone --yes --global

usage-tracker

You're on Claude Max. No per-token billing. But you have no idea which project, conversation, or request is burning through your context limits.

usage-tracker fixes this. A PostToolUse hook captures every tool call with its tokens, project, and the user request that triggered it — turning an opaque usage history into an actionable breakdown by request, project, session, tool, and day.

How it works

User: "review the auth module"
  └─ Read auth.module           → 1,200 tok   ┐
  └─ Grep hook                  →    80 tok   │ same "request"
  └─ Read AuthService.php       → 2,400 tok   │ → total: 4,980 tok
  └─ Bash lint auth/            → 1,300 tok   ┘

Each entry stores: timestamp, session, project, tool, model, label, request text, tokens. The report script aggregates into breakdowns you can actually act on.

The non-obvious part

The hook captures tool calls in isolation — but Claude sends the entire conversation history with every request. This creates a non-linear underestimation:

MessageActual underestimation
5~20%
20~60%
40+~80–90%

Use it as a relative index for comparing projects, sessions, and request types — not as an absolute cost.

Biggest blind spots:

  • Agent calls — subagent conversations are completely invisible (500 log tokens = potentially 20,000+ actual)
  • Long conversations — context accumulates quadratically; start new conversations for independent tasks
  • Active skills — every loaded SKILL.md adds fixed overhead per request

Commands

/usage-tracker install        # Set up hook + scripts
/usage-tracker report hoy     # Today's report
/usage-tracker report semana  # Last 7 days
/usage-tracker top-requests   # Top 15 most expensive requests
/usage-tracker status         # Verify hook is active

Install

npx skills add j4rk0r/claude-skills@usage-tracker --yes --global

Quality Standards

Every skill is evaluated with the skill-judge framework — 8 dimensions, 120 points max.

DimensionWhat it measures
Knowledge DeltaExpert knowledge Claude doesn't have by default
MindsetThinking patterns, not just procedures
Anti-PatternsSpecific NEVER rules with real reasons
DescriptionOptimized for automatic skill activation
DisclosureConcise body, references on demand
FreedomRight constraint level for the task type
PatternFollows proven skill design patterns
UsabilityAgent can act on it immediately

Minimum for inclusion: B (96/120). Current collection: all A+ (120/120).

Contributing

  1. Fork this repo
  2. Add your skill to skills/<name>/SKILL.md
  3. Run /skill-judge — must score B or higher
  4. Open a PR with your score
skills/
  your-skill-name/
    SKILL.md          # Required
    README.md         # Recommended
    references/       # Optional: loaded on demand

License

MIT