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 Infrasity-Labs/dev-gtm-claude-skills --skill blog-taxonomygit clone --depth 1 https://github.com/Infrasity-Labs/dev-gtm-claude-skillsWrote 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/infrasity-labs/dev-gtm-claude-skills/blog-taxonomy)<a href="https://agentmods.dev/skills/infrasity-labs/dev-gtm-claude-skills/blog-taxonomy"><img src="https://agentmods.dev/badge/skills/infrasity-labs/dev-gtm-claude-skills/blog-taxonomy/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/infrasity-labs/dev-gtm-claude-skills/blog-taxonomy"><img src="https://agentmods.dev/badge/skills/infrasity-labs/dev-gtm-claude-skills/blog-taxonomy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 81 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00117 | $0.02156 |
| Opus 5 | $0.00059 | $0.01078 |
| Sonnet 5 | $0.00023 | $0.00431 |
| Haiku 4.5 | $0.00012 | $0.00216 |
Grade A, and why
blog-taxonomy 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 9d 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 — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Blog Taxonomy
Manage tags, categories, and topic clusters across CMS platforms.
Commands
| Command | Purpose |
|---|---|
/blog taxonomy suggest <file> |
Extract candidate tags and categories from content |
/blog taxonomy sync <cms> |
Push taxonomy to CMS via authenticated API |
/blog taxonomy audit [directory] |
Check for thin tags, orphan tags, taxonomy bloat |
Tag Suggestion Workflow
Step 1: Parse Content Structure
Read the target file and extract:
- All H2 and H3 headings (primary topic signals)
- Bold and italic phrases (emphasis signals)
- Existing frontmatter tags/categories if present
Step 2: Frequency Analysis
Scan the body text for high-frequency phrases:
- 1-word terms: minimum 4 occurrences (excluding stop words)
- 2-word phrases: minimum 3 occurrences
- 3-word phrases: minimum 2 occurrences
Exclude common non-tag words: articles, prepositions, conjunctions, pronouns.
Step 3: Semantic Grouping
Group related candidates into clusters:
- Merge singular/plural variants (keep the more common form)
- Merge hyphenated and non-hyphenated forms
- Group synonyms under the highest-frequency term
Step 4: Deduplicate and Rank
- Fuzzy match on slugified names (Levenshtein distance <= 2)
- Score each candidate:
(frequency * 2) + (heading_presence * 5) + (emphasis * 1) - Return top 5-10 ranked suggestions
Output Format
## Tag Suggestions: [Post Title]
| Rank | Tag | Score | Source |
|------|-----|-------|--------|
| 1 | content-marketing | 18 | H2 + 6 mentions |
| 2 | seo-strategy | 14 | H3 + 4 mentions |
| 3 | keyword-research | 11 | 5 mentions + bold |
### Suggested Categories
- Primary: [best-fit category]
- Secondary: [optional second category]
CMS Adapters
Adapter Overview
| CMS | API Type | Auth Method | Tags Model |
|---|---|---|---|
| WordPress | REST | Application Passwords (base64) | First-class entities with IDs |
| Shopify | GraphQL (Admin API) | Admin API access token | String array on Article |
| Ghost | REST (Admin API) | API key with JWT signing | First-class entities |
| Strapi | REST or GraphQL | API token (Bearer) | User-defined content type |
| Sanity | GROQ / Mutations | Project token (Bearer) | Document type |
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.
- 9d ago First seen · 266 lines · 117 tokens per session scan A 9717c36d8e80
blog-taxonomy is a skill published in the GitHub repository Infrasity-Labs/dev-gtm-claude-skills (124 stars, last pushed 2mo ago), licensed MIT. It adds 117 tokens to every session and 2,156 once invoked, about $0.0006 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 2026-09-03.
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