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/aimeerrhythm/enterprise-change-workflow/knowledge-auditnpx skills add Aimeerrhythm/enterprise-change-workflow --skill knowledge-auditgit clone --depth 1 https://github.com/Aimeerrhythm/enterprise-change-workflowWrote 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/aimeerrhythm/enterprise-change-workflow/knowledge-audit)<a href="https://agentmods.dev/skills/aimeerrhythm/enterprise-change-workflow/knowledge-audit"><img src="https://agentmods.dev/badge/skills/aimeerrhythm/enterprise-change-workflow/knowledge-audit.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 | $0.00040 | $0.01524 |
| Opus 5 | $0.00020 | $0.00762 |
| Sonnet 5 | $0.00008 | $0.00305 |
| Haiku 4.5 | $0.00004 | $0.00152 |
Grade A, and why
knowledge-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 6d 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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Knowledge Base Health Audit
You are a knowledge base quality auditor. When user invokes this Skill, perform a comprehensive health check on the project's knowledge base.
Prerequisites
Check if .claude/ecw/ecw.yml exists:
- Exists → Read
paths.knowledge_root - Not exists → Use default
.claude/knowledge/
Audit Steps
Step 1: Basic Statistics
Scan all .md files under knowledge root:
- Count total files, total lines
- Count files and lines per domain (first-level subdirectories)
- Identify tiny files (<25 lines) and oversized files (>300 lines)
find <knowledge_root> -name "*.md" -type f | wc -l
find <knowledge_root> -name "*.md" -type f -exec wc -l {} + | sort -n
Step 2: Content Composition Analysis
For each non-00-index.md file, sample content (first 50 + middle 50 + last 50 lines), classify into:
| Content Type | Recognition Pattern | Value Assessment |
|---|---|---|
| Pseudocode/Call chains | Contains →, FacadeImpl, BizServiceImpl, Manager line-by-line translation |
Low value (AI can read source directly) |
| Business constraints/rules | Contains "must", "not allowed", "priority", "condition", "invariant" | High value (cross-file aggregation) |
| State transitions/tables | Contains state machines, error code tables, dependency tables | Medium-high value (structured info) |
| Config listings | Contains Nacos, enum value lists, config item tables | Low value (stale-prone, greppable) |
| Navigation/overview | Contains directory structure, Facade map, entry locator table | High value (AI locating efficiency boost) |
Output estimated percentage for each type (based on sampling).
Step 3: Three-Criteria Compliance Check
For high-percentage "Pseudocode/Call chains" and "Config listings", check if they meet any of the three criteria:
Three-Criteria Standard (keep if meets any one):
- Cross-file scattered — Info scattered across 3+ files, AI needs extensive reading to piece together
- Implicit intent — Code has what but no why, and not knowing why leads AI to wrong decisions in edge cases
- Counter-intuitive design — Code behavior looks like a bug but is actually intentional business requirement
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.
- 6d ago First seen · 186 lines · 40 tokens per session scan A 9d7712d75d80
knowledge-audit is a skill published in the GitHub repository Aimeerrhythm/enterprise-change-workflow (1 stars, last pushed 3mo ago), licensed MIT. It adds 40 tokens to every session and 1,524 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 2026-08-31.
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