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 skills add dandye/ai-runbooks --skill generate-thesaurusgit clone --depth 1 https://github.com/dandye/ai-runbooksWrote 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/dandye/ai-runbooks/generate-thesaurus)<a href="https://agentmods.dev/skills/dandye/ai-runbooks/generate-thesaurus"><img src="https://agentmods.dev/badge/skills/dandye/ai-runbooks/generate-thesaurus/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/skills/dandye/ai-runbooks/generate-thesaurus"><img src="https://agentmods.dev/badge/skills/dandye/ai-runbooks/generate-thesaurus.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00030 | $0.00605 |
| Opus 5 | $0.00015 | $0.00302 |
| Sonnet 5 | $0.00006 | $0.00121 |
| Haiku 4.5 | $0.00003 | $0.00060 |
Grade A, and why
generate-thesaurus 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 11d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Thesaurus Skill
Generate a controlled vocabulary thesaurus for a specified content domain or directory. This skill analyzes content to identify key terms and structures them into a thesaurus with relationships (broader, narrower, related terms).
Inputs
PATH- The directory or file path to analyze (e.g., "/docs/security")RECURSIVE- (Optional) Boolean, whether to include subdirectories (default: true)OUTPUT_FORMAT- (Optional) Format of the output: "markdown", "yaml", "json", "csv" (default: "markdown")
Workflow
Step 1: Content Analysis
Analyze the content at PATH to identify frequently used terms, concepts, and entities. This involves scanning documentation files (Markdown, Text, etc.) to extract potential vocabulary candidates.
Step 2: Term Extraction & Relationship Mapping
Identify relationships between terms based on context and standard taxonomies:
- Preferred Terms: The standard term to be used (e.g., "Multi-Factor Authentication" instead of "MFA").
- Broader Terms: More general concepts (e.g., "Access Control" is broader than "Authentication").
- Narrower Terms: More specific sub-concepts (e.g., "Biometrics" is narrower than "Authentication").
- Related Terms: Associative relationships (e.g., "Identity Management" is related to "Authentication").
Step 3: Thesaurus Generation
Format the collected terms and relationships into the requested OUTPUT_FORMAT.
Example Output (Markdown):
# Security Thesaurus
## Authentication
* **Scope Note**: verification of the identity of a user, process, or device
* **Broader Term**: Access Control
* **Narrower Terms**: Multi-Factor Authentication, Single Sign-On
* **Related Terms**: Authorization, Identity Management
Required Outputs
A THESAURUS_DOCUMENT in the specified OUTPUT_FORMAT containing:
- List of terms
- Relationships (BT, NT, RT)
- Scope notes (definitions)
- Synonyms or "Use For" entries
Quick Reference
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.
- 11d ago First seen · 65 lines · 30 tokens per session scan A 4c8591ddca37
generate-thesaurus is a skill published in the GitHub repository dandye/ai-runbooks (124 stars, last pushed 27d ago), licensed Apache-2.0. It adds 30 tokens to every session and 605 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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