claudekit

by duthahoVerified

A verification-first engineering toolkit for Claude Code. Built for senior ICs and tech leads who already know how to ship production code — and want a workflow that keeps the discipline tight without getting in the way.

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8/24/2026
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⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillTip is an informational directory and does not control or maintain the underlying repository. Any security checks displayed are automated and limited in scope. Review the source code before installing.

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Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/duthaho/claudekit

Getting Started

Guides for using skills like claudekit.

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

Claude Kit

A verification-first engineering toolkit for Claude Code. Built for senior ICs and tech leads who already know how to ship production code — and want a workflow that keeps the discipline tight without getting in the way.

15 skills, 8 agents, one philosophy: every claim has evidence. No tests pass — trust me. No it works in my IDE. No I think the cache is stale. Skills produce artifacts you could paste into a code review.

What makes claudekit different

  • Rationalizations tables in every skill. The excuses an engineer makes to skip a step ("I see the problem, let me just patch it") are documented in the skill itself, with rebuttals. The skill refuses to be skipped silently.
  • Evidence requirements at every checkpoint. Each phase produces a specific artifact. If the artifact doesn't exist, the phase wasn't completed.
  • Pre-completion gates. verification-gate runs before any "done" claim — runs the tests, checks the negative path, exercises the change in a non-IDE environment, cross-checks the original ask.
  • No founder voice. No "ambitious vision," no "10x outcomes," no "delight." Engineering analogies, real file paths, real commands.
  • Plan-review pipeline as the headline. Two parallel reviewers (architecture + experience) score 5 sub-dimensions each, consolidate into one fix gate. Catches structural issues before code.

Install

/plugin marketplace add duthaho/claudekit-marketplace
/plugin install claudekit
/claudekit:init

/claudekit:init interactively scaffolds rules, hooks, and MCP server configs into your project's .claude/ directory. Output styles ship with the plugin and are auto-discovered by Claude Code (no init step required).

The 5-phase spine

PhaseSkillsWhat's enforced
Investigateinvestigate-root-cause, map-codebase, audit-dependenciesEvery claim about the system has a <file:line> citation. No memory-based assertions.
Designshape-spec, write-plan, plan-review, plan-review-architecture, plan-review-experiencePlans have file paths, exact test commands, falsifiable acceptance criteria, named rollbacks. Reviewed before implementation.
Implementtest-first, incremental-shippingRed-green-refactor with pasted runner output. Vertical slices behind feature flags. Refactors prove behavior preservation with test/perf deltas.
Verifyverification-gate, evidence-driven-debuggingMandatory pre-completion gate. Active debugging keeps a paper trail.
Shipcode-review-loop, release-and-changelogReviewable PRs with verification evidence pasted. Atomic releases with diff-built changelogs.
Setup (off-spine)initOne-time scaffolding wizard for project-level config.

All 15 skills are user-invocable as /claudekit:<name>.

Output styles (5)

Five Claude Code output styles ship with the plugin. They're auto-discovered by Claude Code — no init step required. Switch via /config or by setting outputStyle in .claude/settings.local.json.

StyleWhen to use
BrainstormCreative exploration — divergent thinking, multiple alternatives, structured trade-offs before any code
Deep ResearchThorough investigation — completeness over speed, evidence-cited findings with confidence levels
ImplementationCode-focused execution — minimal prose, action-oriented updates, follow established patterns
ReviewCritical analysis — find issues first, severity-tagged findings, actionable suggestions
Token EfficientCompressed output — minimal prose, code-first, no preambles

All styles use keep-coding-instructions: true, so Claude's default coding/testing/verification discipline still applies underneath.

The 8-agent roster

Each agent has a single dispatcher and a clear job. No agent-bloat.

AgentJobDispatched by
claudekit:plannerDecompose specs into executable planswrite-plan
claudekit:architectScore architecture dimension of a planplan-review-architecture
claudekit:experience-reviewerScore UX + DX dimension of a planplan-review-experience
claudekit:investigatorRoot-cause investigation with evidence chaininvestigate-root-cause, evidence-driven-debugging
claudekit:testerDesign and write tests with red-green disciplinetest-first
claudekit:code-reviewerPre-merge structural review of diffscode-review-loop
claudekit:security-auditorOWASP-aligned review of sensitive pathscode-review-loop (sensitive paths)
claudekit:scoutCodebase mapping and dependency auditsmap-codebase, audit-dependencies

What /claudekit:init configures

CategoryWhatLocation
RulesAPI, frontend, migrations, security, testing.claude/rules/
Hooksauto-format, block-dangerous-commands, detect-secrets, guard-sensitive-files, notifications.claude/hooks/ + settings.local.json
MCP ServersContext7, Sequential, Playwright, Memory, Filesystem.mcp.json

Output styles ship with the plugin (in output-styles/) and are auto-discovered by Claude Code; no init step needed.

Skill anatomy

Every claudekit skill has 8 required sections:

  1. Frontmatter — name, user-invocable, description with trigger keywords.
  2. Overview — one paragraph: what the skill does, who for, what's enforced.
  3. When to Use / When NOT to Use — concrete trigger conditions.
  4. Process — numbered phases or steps with explicit Goal / Inputs / Actions / Output.
  5. Rationalizations — table of excuses with verbatim quotes, steelmanned reasoning, named failure modes, concrete alternatives.
  6. Evidence Requirements — what artifact each checkpoint must produce, with the lazy version it rejects.
  7. Red Flags — concrete observations that mean STOP and reassess.
  8. References — cited works (Software Engineering at Google, A Philosophy of Software Design, The Pragmatic Programmer, etc.) where directly relevant.

Workflow chains

Pick the chain that matches your task. Each one ends at a real stopping point — not every project needs every step.

Sizing the work

The chains below show the full discipline. Scale it to the change — the ceremony is negotiable, the evidence is not. Size the change first, then run only what the tier earns:

TierWhat it isDesign ceremonyEvidence (never scales)
TrivialOne-line / single-file / describable in one sentence (typo, config value, rename)Skip shape-spec, write-plan, plan-reviewverification-gate, then code-review-loop on the diff
SmallOne focused change, ≤ ~3 files, design obviousSkip shape-spec and plan-review; a lightweight inline plan is enoughverification-gatecode-review-loop
StandardMulti-file, multi-session, or real design decisionsFull chain: shape-specwrite-planplan-reviewverification-gatecode-review-loop

The one rule that never scales: verification-gate always runs, and code-review-loop runs on any diff you ship — on a typo as much as a rewrite. Ceremony scales to the change; evidence does not scale to zero. A skipped gate is how "trust me" comes back, which is the exact failure claudekit exists to prevent. When you're genuinely unsure which tier a change is, pick the smaller one and say so — the plan contract catches scope growth and upgrades the tier if the work turns out bigger.

New feature

"There's a request. No code yet."

shape-spec → write-plan → plan-review → [test-first + incremental-shipping] → verification-gate → code-review-loop

test-first and incremental-shipping are paired, not sequential — every task goes through red-green-refactor while the whole slice ships behind a feature flag. For library, plugin, or CLI work that ships a tagged version, append → release-and-changelog.

Bug fix

"Something is broken. Fix the cause, not the symptom."

investigate-root-cause → test-first (regression test) → verification-gate → code-review-loop

evidence-driven-debugging activates inside Phase 3 of investigate-root-cause when you need runtime instrumentation (logs, breakpoints, probes) to test the hypothesis.

Refactor

"Improve structure. Preserve behavior. Prove preservation."

map-codebase → incremental-shipping (refactor-with-evidence section) → verification-gate → code-review-loop

The refactor-with-evidence section requires before/after test deltas (and perf numbers if perf-sensitive). That's the whole discipline — no behavior-preservation claim without measured proof.

Codebase exploration

"How does X work? What calls Y? What's the blast radius?"

map-codebase

Standalone. Output is an evidence-cited map you can attach to a plan or hand to a teammate. Only chain into shape-spec if exploration revealed a real problem worth specifying.

Dependency audit

"A CVE landed. Or it's quarterly hygiene. Or you're adding a new package."

audit-dependencies

Standalone. Produces a per-dep table (declared / imports / verdict) plus advisory verdicts with reachability proof. Action items go into a follow-up PR.

Sensitive-path code review

"This diff touches auth, payments, crypto, sessions, or tokens."

code-review-loop  (auto-dispatches security-auditor on sensitive paths)

No prep skill needed. code-review-loop detects sensitive paths from the diff and dispatches both code-reviewer and security-auditor automatically. You get OWASP-aligned findings alongside structural ones.

Pre-release sweep

"You're about to cut a tagged version of a library, plugin, or CLI."

audit-dependencies → release-and-changelog

For library/plugin authors before tagging. The audit catches stale deps and unaccounted CVEs; the release skill builds the changelog from the actual diff (not from memory) and makes the release commit atomic.


In practice, devs skip steps for trivial work — so scale the chain deliberately, per Sizing the work above, rather than silently. The chains show the full discipline; the tier tells you how much of it this change earns — but the evidence gate is never the part you skip.

Development

CI (.github/workflows/validate.yml) lints every skill against the 8-section anatomy above, checks plugin.json/marketplace.json version sync, enforces token budgets on the always-loaded skill/agent frontmatter (the "no agent-bloat" claim, measured), and exercises the evidence gate. Run locally before committing:

node scripts/validate-plugin.cjs
node scripts/token-report.cjs --check
node scripts/test-verify-evidence.cjs

scripts/verify-evidence.cjs is the evidence gate itself — dogfooding the "every claim has evidence" philosophy against the agent's own output:

  • --citations <file> — resolves file:line citations in an artifact against real paths and line ranges.
  • --tripwires — scans git diff HEAD for fake-green tampering: deleted test files, added test skips, new TODO/FIXME.
  • --rerun <file> [--cmd "<command>"] — re-runs the test suite and diffs the actual result against the result claimed in the artifact; a claimed pass that's actually red, or divergent pass/fail counts, fails the gate. The verdict is ground-truthed from the run's exit code, so a pasted output block can't fake green. The command is auto-detected (npm test / pytest) or given with --cmd; --detect-only prints what would run.

It exits non-zero when a claim can't be verified.

Requirements

  • Claude Code 1.0+
  • Git
  • Node.js or Python (depending on your stack)

License

MIT


Built by duthaho.

Frequently Asked Questions

What is claudekit?

claudekit is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by duthaho. A verification-first engineering toolkit for Claude Code. Built for senior ICs and tech leads who already know how to ship production code — and want a workflow that keeps the discipline tight without getting in the way. It has 100 GitHub stars.

Is claudekit safe to use?

Yes. claudekit passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install claudekit?

Clone the repository with "git clone https://github.com/duthaho/claudekit" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is claudekit written in?

claudekit is primarily written in JavaScript. It is open-source under duthaho on GitHub, so you can review or fork the full source.

Are there alternatives to claudekit?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh claudekit against similar tools.

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