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 Varnan-Tech/opendirectory --skill cook-the-bloggit clone --depth 1 https://github.com/Varnan-Tech/opendirectoryWrote 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/varnan-tech/opendirectory/cook-the-blog)<a href="https://agentmods.dev/skills/varnan-tech/opendirectory/cook-the-blog"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/cook-the-blog/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/varnan-tech/opendirectory/cook-the-blog"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/cook-the-blog.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Data Exfiltration · line 109 Data is uploaded to cloud storage (S3 / GCS / Azure Blob). This may be a legitimate backup or exfiltration to an external bucket. Manual review is recommended.Fix: Verify the destination bucket is trusted and owned by you. Never upload credentials, secrets, or workspace contents to external or unverified cloud storage.
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 | $0.00088 | $0.01997 |
| Opus 5 | $0.00044 | $0.00999 |
| Sonnet 5 | $0.00018 | $0.00399 |
| Haiku 4.5 | $0.00009 | $0.00200 |
Grade A, and why
cook-the-blog 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
cook-the-blog Workflow
Follow these steps exactly when asked to generate a case study for a company.
MANDATORY SETUP CHECK: Before starting, ensure you have the required environment variables and target destinations configured (Target Repo, Image Bucket/Storage, Author Email, etc.). If any are missing, STOP and ask the user for them.
MANDATORY QA CHECK AT EACH STEP: After completing every single step below, you MUST perform a strict, self-critical QA check. If a step fails or is hallucinated, you MUST retry until it succeeds. Do not fake success.
1. Deep Research (Tavily)
- Use the
tavilytool (via MCP) and standard web searches to deeply research the company. Note: Always check if the registered business name differs from the product name. Search Reddit and other relevant forums for authentic developer insights. - QA Tester: Did you actually extract real, hard metrics and specific details about their GTM strategy, or is it generic fluff? If fluff, research deeper.
2. SEO Keyword Research (Google Trends via SerpApi)
- Run the python script:
export SERPAPI_KEY="[YOUR_SERPAPI_KEY]" && python3 [PATH_TO_SEO_SCRIPT] "[Company Name]" - Identify the breakout and high-growth keywords from the output.
- QA Tester: Did the script succeed? Are the keywords real and high-volume? If not, retry or adjust the query.
3. Title & Cover Generation
- Title: Format:
"How [Company] [Achieved X] by [Core Strategy]". Make it specific and highly descriptive. - Cover: Use the
blog-cover-cli generatecommand to generate the cover image. CRITICAL: The title passed to the cover image generator using the-tflag should contain around 7-10 words total. Do NOT use newlines (\n) in the string. Just provide a normal, single-line string and let the CLI handle the text wrapping automatically! Write a concise, aggressive title (e.g.,blog-cover-cli generate -t "How Baseten Scaled AI Infrastructure To a 5 Billion Valuation" -l "domain.com" -o "./cover.png"). - QA Tester: Was the image actually generated and saved? Verify the file exists.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 131 lines · 88 tokens per session scan A 5121c1854c60
cook-the-blog is a skill published in the GitHub repository Varnan-Tech/opendirectory (639 stars, last pushed 25d ago), licensed MIT. It adds 88 tokens to every session and 1,997 once invoked, about $0.0004 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.
Other skills, from other repositories
content-style
Writing Reddit-native content that sounds human, avoids AI tells, and delivers value through structure and specificity. Applies to workshop posts, definitive model guides, research megathreads, and community FYI/update posts.
coding-worktree-recovery
Use this skill when coding-agent work is interrupted, an agent exits without a clean commit, multiple controllers target the same checkout, or the checkout produces inconsistent file/Git behavior.
macos-storage-management
Safely reclaim local Mac storage without mistaking cloud placeholders for resident data, losing File Provider content, or flattening metadata onto an incompatible external filesystem.
hermes-mnemosyne
Mnemosyne is Hermes' primary local-first memory engine — SQLite with vector + FTS5 hybrid search, 19+ tools, auto-consolidation, and a standalone CLI. It's a pip-installed plugin (not a built-in toolset) discovered via $HERMESHOME/plugins/mnemosyne/.
skill-auditor
Audit any Hermes skill file and assign a quality grade based on clarity, completeness, tool guidance, and shareability. Returns specific fix suggestions ranked by impact.
marketplace-purchase-vetting
Use this when the user asks whether a local listing is a scam, "too good to be true," worth looking at, or a good deal. Also use this when he asks you to find options — search/discover candidates, then vet the best ones. The goal is not a generic buying guide; it is a practical risk read with clear next steps.