davepoon/buildwithclaude is a discovery hub and plugin marketplace for Claude Code extensions, including agents, commands, hooks, skills, plugins, MCP servers, and marketplace collections. Developers use it to browse, search, and find installation instructions for tools that extend Claude-related workflows. Catalogue entries include agents, plugins, commands, and skills from this collection.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add davepoon/buildwithclaude --skill code-healthgit clone --depth 1 https://github.com/davepoon/buildwithclaudeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/davepoon/buildwithclaude/code-health)<a href="https://agentmods.dev/skills/davepoon/buildwithclaude/code-health"><img src="https://agentmods.dev/badge/skills/davepoon/buildwithclaude/code-health/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/davepoon/buildwithclaude/code-health"><img src="https://agentmods.dev/badge/skills/davepoon/buildwithclaude/code-health.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00035 | $0.00370 |
| Opus 5.5 | $0.00014 | $0.00148 |
| Sonnet 5.5 | $0.00007 | $0.00074 |
| Haiku 4.5 | $0.00003 | $0.00037 |
Grade A, and why
code-health scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Code Health
Runs a comprehensive code health scan using the Centinela (QA) agent.
When to Use This Skill
- Periodic codebase hygiene check
- Before a release to ensure no dead code or unresolved debt
- After a large refactoring to verify cleanliness
- When onboarding to understand current code quality
What This Skill Does
- Runs the SIGN IN checklist
- Scans for dead code (unused imports, variables, functions, commented-out blocks, unreachable code)
- Checks for outdated and vulnerable dependencies
- Detects code smells (long functions, deep nesting, duplication)
- Audits TODO/FIXME comments for issue references
- Runs the Scan Complete checklist (TIME OUT)
- Writes findings to
docs/reviews/code-health-{date}.md - Prepares findings handoff to Dev agent
How to Use
Basic Usage
/code-health
Example
User: /code-health
Output: A code health report at docs/reviews/code-health-2026-02-23.md with:
- Dead code findings (verified, not false positives)
- Dependency status and vulnerabilities
- Code smell inventory
- TODO/FIXME audit
- Prioritized findings: Critical > Warning > Suggestion
Tips
- Scans all source directories, not just
src/— includestests/and config files - Previous scan findings are compared to track recurring issues
- Findings are verified to avoid false positives from dynamic imports or plugins
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 53 lines · 35 tokens per session scan A 0572aa328df8
code-health is a skill published in the GitHub repository davepoon/buildwithclaude (3,677 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 370 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
01-sdlc
Orchestrates a request from framing to a draft pull request, autonomous or supervised, isolating implementation, independent review, and final outcome challenge. Use when the user wants to deliver a change end to end. Not for one step.
05-review
Reviews a change or a diff and says whether it is ready to ship, naming every problem with its fix. Use when the user wants a change checked before it ships. Not for fixing what the review finds, and not for auditing a whole codebase.
consult-codex
Dual-AI code analysis pairing OpenAI Codex with Claude code-searcher — the lightest consult variant, two citation-verified perspectives. Use for a quick second opinion on a code question.
00-async-dev
Drive the async-dev pipeline from one entry point, whether setup, run, or review. Use when the user wants to install async dev, run a ready issue, or address PR review comments, or on a webhook trigger. Not for plain status checks.
code-review
Code review practices with technical rigor and verification gates. Use for receiving feedback, requesting code-reviewer subagent reviews, or preventing false completion claims in pull requests.
02-challenge
Rethink just-completed work against an agreed plan, classifying findings as deal-breaker, suggestion, or correct, with a confidence score. Use to challenge or critically review recent work. Not for line-by-line style review or writing code.