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/cloudnative-co/claude-code-starter-kitWrote 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/cloudnative-co/claude-code-starter-kit/update-docs)<a href="https://agentmods.dev/commands/cloudnative-co/claude-code-starter-kit/update-docs"><img src="https://agentmods.dev/badge/commands/cloudnative-co/claude-code-starter-kit/update-docs/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/cloudnative-co/claude-code-starter-kit/update-docs"><img src="https://agentmods.dev/badge/commands/cloudnative-co/claude-code-starter-kit/update-docs.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 | $0.00257 |
| Opus 5.5 | $0.00000 | $0.00103 |
| Sonnet 5.5 | $0.00000 | $0.00051 |
| Haiku 4.5 | $0.00000 | $0.00026 |
Grade C, and why
update-docs scanned grade C with 1 finding 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.
Harvests environment variableshighData exfiltration
Enumerating or grepping the environment for keys collects credentials unrelated to what the mod says it does.
- Extract all environment variables What it actually says
Update Documentation
Sync documentation from real sources of truth:
-
Detect the project's task definition source (package.json scripts, Makefile, pyproject.toml, etc.)
- Generate a scripts/tasks reference table
- Include descriptions from comments
-
Read .env.example (if present)
- Extract all environment variables
- Document purpose and format
-
Generate docs/CONTRIB.md with:
- Development workflow
- Available scripts
- Environment setup
- Testing procedures
-
Update docs/RUNBOOK.md only when real operational sources exist (CI workflow definitions, Dockerfile/compose, IaC, deploy scripts, or an existing docs/RUNBOOK.md). Derive content from those sources only. Omit any section (Deployment / Monitoring / Rollback / ...) that has no source — never invent procedures. List the missing sections in the report instead.
-
Identify obsolete documentation:
- Find docs that look stale (e.g. not modified in ~90 days)
- List for manual review
-
Show diff summary
Sources of truth: task definitions and .env.example for scripts/env; CI / IaC / deploy configs for operational procedures.
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 · 35 lines · 0 tokens per session scan C 75497c83d250
update-docs is a command published in the GitHub repository cloudnative-co/claude-code-starter-kit (153 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 257 tokens. A static security scan graded it C with 1 finding (harvests environment variables). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
speckit.bug.fix
Apply the remediation from a bug assessment and record what was changed.