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 agentmods add skills/raccioly/docguard/docguard-scorenpx skills add raccioly/docguard --skill docguard-scoregit clone --depth 1 https://github.com/raccioly/docguardWrote 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/raccioly/docguard/docguard-score)<a href="https://agentmods.dev/skills/raccioly/docguard/docguard-score"><img src="https://agentmods.dev/badge/skills/raccioly/docguard/docguard-score.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 | $0.00039 | $0.01525 |
| Opus 5 | $0.00019 | $0.00763 |
| Sonnet 5 | $0.00008 | $0.00305 |
| Haiku 4.5 | $0.00004 | $0.00153 |
Grade A, and why
docguard-score 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 5d 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 — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DocGuard Score Skill
User Input
$ARGUMENTS
You MUST consider the user input before proceeding (if not empty).
Goal
Run DocGuard's CDD maturity scoring engine, analyze the category breakdown, identify highest-ROI improvements, and produce an actionable improvement roadmap showing projected score gains per fix.
Execution Flow
Step 1: Run Scoring Engine
Execute both tools for comprehensive data:
npx docguard-cli score 2>&1
npx docguard-cli guard 2>&1
If in DocGuard dev environment:
node cli/docguard.mjs score 2>&1
node cli/docguard.mjs guard 2>&1
Step 2: Parse Score Breakdown
Extract the category-level scores:
| Category | Score | Weight | Points | Potential Gain |
|---|---|---|---|---|
| Structure | X% | ×25 | N | [25 - N] |
| Doc Quality | X% | ×20 | N | [20 - N] |
| Testing | X% | ×15 | N | [15 - N] |
| Security | X% | ×10 | N | [10 - N] |
| Environment | X% | ×10 | N | [10 - N] |
| Drift | X% | ×10 | N | [10 - N] |
| Changelog | X% | ×5 | N | [5 - N] |
| Architecture | X% | ×5 | N | [5 - N] |
Calculate Potential Gain for each category = (weight - current points).
Step 3: Grade Classification
| Grade | Score | Description |
|---|---|---|
| A+ | 95-100 | Exemplary — production-grade documentation, CDD fully adopted |
| A | 85-94 | Strong — minor improvements possible, CI-gate ready |
| B | 70-84 | Good — documentation covers essentials, some gaps exist |
| C | 50-69 | Fair — significant documentation debt, multiple gaps |
| D | 30-49 | Poor — major structural gaps, limited doc coverage |
| F | 0-29 | Critical — documentation infrastructure missing |
Step 4: ROI-Based Improvement Roadmap
Sort categories by Potential Gain / Effort ratio:
For each category below 100%, calculate:
- Gap: What checks are failing?
- Effort: How hard is it to fix? (LOW = update metadata, MEDIUM = add content, HIGH = research + write)
- Impact: Points gained if fixed to 100%
- ROI: Impact / Effort ranking
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.
- 5d ago First seen · 180 lines · 39 tokens per session scan A 75aefb0bff91
docguard-score is a skill published in the GitHub repository raccioly/docguard (27 stars, last pushed today), licensed MIT. It adds 39 tokens to every session and 1,525 once invoked, about $0.0002 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 2026-08-30.
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