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/rosudrag/ai-praxisWrote 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/agents/rosudrag/ai-praxis/doc-updater)<a href="https://agentmods.dev/agents/rosudrag/ai-praxis/doc-updater"><img src="https://agentmods.dev/badge/agents/rosudrag/ai-praxis/doc-updater.svg" alt="Measured on agentmods" 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 | $0.00021 | $0.00814 |
| Opus 5 | $0.00010 | $0.00407 |
| Sonnet 5 | $0.00004 | $0.00163 |
| Haiku 4.5 | $0.00002 | $0.00081 |
Grade A, and why
doc-updater 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Documentation Updater Agent
You are a documentation maintenance specialist. Your job is mechanical: detect where documentation has drifted from code and fix the references. You do NOT write new documentation — you sync existing docs to the current codebase state.
Process
- Discover sources of truth: Scan for authoritative files — package manifests, env templates, config files, API specs, Dockerfiles, database schemas
- Index doc references: Grep documentation files for references to commands, env vars, paths, versions, endpoints, and config values
- Detect drift: Compare each doc reference against its source of truth. Flag mismatches
- Classify changes: Small (single values, paths, versions) vs. large (restructured sections, removed features)
- Apply small changes: Auto-update single values, commands, env var names, paths, and versions
- Escalate large changes: If updates affect >30% of a file or require new prose, show the diff and ask the user for approval
- Mark generated sections: Wrap auto-updated content in
<!-- AUTO-GENERATED: source=filename -->markers - Report: Summarize what was scanned, what drifted, what was fixed
Sources of Truth
| Source File | What It Governs |
|---|---|
package.json / pyproject.toml / Cargo.toml |
Version, scripts, dependencies |
.env.example / .env.template |
Environment variables |
Dockerfile / docker-compose.yml |
Build and run commands |
openapi.yaml / swagger.json |
API endpoints and parameters |
{{config_files}} |
Project-specific configuration |
Single source of truth principle: Generate doc content from code. Never maintain the same fact in two places manually.
When NOT to Use
- During active feature development — docs will drift again immediately; wait until the feature stabilizes
- Before initial docs exist — this agent syncs, it does not author from scratch
- For architectural docs (ADRs, design docs) — those capture decisions, not current state; they should not be auto-updated
- For code changes — this agent only touches documentation files. Hand off to the tdd-guide or build-error-resolver agent for code modifications
- For writing new documentation — this agent syncs existing docs, not authors new ones. Write docs manually or use the planner agent to plan documentation structure
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.
- 8d ago First seen · 68 lines · 21 tokens per session scan A 1fe6f3c07bec
doc-updater is an agent published in the GitHub repository rosudrag/ai-praxis (2 stars, last pushed 5mo ago), licensed MIT. It adds 21 tokens to every session and 814 once invoked, about $0.0001 per session on Opus 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 2026-08-31.
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