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/RohitBind123/claude-setupWrote 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/rohitbind123/claude-setup/update-docs)<a href="https://agentmods.dev/commands/rohitbind123/claude-setup/update-docs"><img src="https://agentmods.dev/badge/commands/rohitbind123/claude-setup/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/rohitbind123/claude-setup/update-docs"><img src="https://agentmods.dev/badge/commands/rohitbind123/claude-setup/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 | $0.00671 |
| Opus 5.5 | $0.00000 | $0.00268 |
| Sonnet 5.5 | $0.00000 | $0.00134 |
| Haiku 4.5 | $0.00000 | $0.00067 |
Grade A, and why
update-docs 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.
This is a copy
98% identical to update-docs — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Update Documentation
Sync documentation with the codebase, generating from source-of-truth files.
Step 1: Identify Sources of Truth
| Source | Generates |
|---|---|
package.json scripts |
Available commands reference |
.env.example |
Environment variable documentation |
openapi.yaml / route files |
API endpoint reference |
| Source code exports | Public API documentation |
Dockerfile / docker-compose.yml |
Infrastructure setup docs |
Step 2: Generate Script Reference
- Read
package.json(orMakefile,Cargo.toml,pyproject.toml) - Extract all scripts/commands with their descriptions
- Generate a reference table:
| Command | Description |
|---------|-------------|
| `npm run dev` | Start development server with hot reload |
| `npm run build` | Production build with type checking |
| `npm test` | Run test suite with coverage |
Step 3: Generate Environment Documentation
- Read
.env.example(or.env.template,.env.sample) - Extract all variables with their purposes
- Categorize as required vs optional
- Document expected format and valid values
| Variable | Required | Description | Example |
|----------|----------|-------------|---------|
| `DATABASE_URL` | Yes | PostgreSQL connection string | `postgres://user:pass@host:5432/db` |
| `LOG_LEVEL` | No | Logging verbosity (default: info) | `debug`, `info`, `warn`, `error` |
Step 4: Update Contributing Guide
Generate or update docs/CONTRIBUTING.md with:
- Development environment setup (prerequisites, install steps)
- Available scripts and their purposes
- Testing procedures (how to run, how to write new tests)
- Code style enforcement (linter, formatter, pre-commit hooks)
- PR submission checklist
Step 5: Update Runbook
Generate or update docs/RUNBOOK.md with:
- Deployment procedures (step-by-step)
- Health check endpoints and monitoring
- Common issues and their fixes
- Rollback procedures
- Alerting and escalation paths
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 · 85 lines · 0 tokens per session scan A 09d8332a9e11
update-docs is a command published in the GitHub repository RohitBind123/claude-setup (2 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 671 tokens. A static security scan graded it A with 0 findings. It is 98% identical to update-docs, differing in 4 lines, and is treated as a copy.
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.