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.
git clone --depth 1 https://github.com/Vimalk0703/shipworthyWrote 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/commands/vimalk0703/shipworthy/audit)<a href="https://agentmods.dev/commands/vimalk0703/shipworthy/audit"><img src="https://agentmods.dev/badge/commands/vimalk0703/shipworthy/audit/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/commands/vimalk0703/shipworthy/audit"><img src="https://agentmods.dev/badge/commands/vimalk0703/shipworthy/audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00000 | $0.00246 |
| Opus 5.5 | $0.00000 | $0.00098 |
| Sonnet 5.5 | $0.00000 | $0.00049 |
| Haiku 4.5 | $0.00000 | $0.00025 |
Grade A, and why
audit 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
Before executing this command, output:
⚓ shipworthy › command:
/audit— running full quality audit
Run a full quality audit on this project.
Perform a comprehensive review covering:
- Architecture compliance — check all code against
.shipworthy/architecture.mdMandatory Rules - Security scan — review for OWASP Top 10 vulnerabilities (hardcoded secrets, SQL injection, XSS, missing auth)
- Test coverage — identify untested business logic and critical paths
- Dependency health — run
npm audit/pip audit, check for outdated packages - Tech debt review — check
.shipworthy/tech-debt.mdfor outstanding items - Performance — identify obvious bottlenecks (N+1 queries, missing indexes, large bundles)
- Accessibility — check UI components for WCAG 2.1 AA compliance
Present results organized by severity:
- Critical — must fix immediately
- Important — should fix soon
- Advisory — improve when convenient
End with an overall health score (A-F) and top 3 recommended actions.
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 · 24 lines · 0 tokens per session scan A 66c0e26381cf
audit is a command published in the GitHub repository Vimalk0703/shipworthy (6 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 246 tokens. 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 2026-08-31.
Other commands, from other repositories
dare-review
Audita uma task implementada cruzando a spec (DARE/EXECUTION/ .md) com os arquivos reais que ela tocou. Detecta stubs, mocks fora de testes, funções vazias, TODOs, retorno-fantasma — e valida critério-a-critério se a implementação satisfaz o que a spec prometeu.
assemble-team
Assemble a pre-built agent team for parallel work - review, feature, debug, cross-platform, full-stack, or research.
review-branch
Review the current branch's diff against base by dispatching atomic-reviewer. No orchestration loop, no spec required — pre-flight before /commit pr or /commit merge.
review-skills
Review changed skills: automated bash checks + 9 structural dimensions (D1-D9) + 5 intent checks (M1-M5). PASS/FAIL verdict. Fix in-place.
code-review
Review staged git changes for bugs, security issues, and style violations.
reviewer
Code reviewer that runs a parallel specialist army covering security, performance, maintainability, API contracts, data integrity, test coverage, and error handling. Trigger on code review, review, PR review, pull request, or review army.