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 anycap-ai/anycap --skill anycap-blog-productiongit clone --depth 1 https://github.com/anycap-ai/anycapWrote 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/anycap-ai/anycap/anycap-blog-production)<a href="https://agentmods.dev/skills/anycap-ai/anycap/anycap-blog-production"><img src="https://agentmods.dev/badge/skills/anycap-ai/anycap/anycap-blog-production/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/anycap-ai/anycap/anycap-blog-production"><img src="https://agentmods.dev/badge/skills/anycap-ai/anycap/anycap-blog-production.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00143 | $0.02249 |
| Opus 5 | $0.00072 | $0.01125 |
| Sonnet 5 | $0.00029 | $0.00450 |
| Haiku 4.5 | $0.00014 | $0.00225 |
Grade A, and why
anycap-blog-production 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 2d 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 — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AnyCap Blog Production
Read this entire file before starting. This skill is for turning user-fed data into AnyCap-style articles, then adding evidence where the article needs proof.
Use this skill when the user provides facts, notes, examples, benchmarks, product capabilities, or other raw inputs and wants a finished blog post that sounds like the AnyCap website. The core job is:
- normalize the input data into a working brief
- draft a page in AnyCap's website tone
- decide whether the article needs first-party evidence blocks
- add AnyCap-generated visuals only when they materially improve the page
This skill is about blog production workflow. For raw CLI syntax, authentication, and command behavior, read the anycap-cli skill. For broader search-intent planning, read the anycap-ai-tool-seo skill.
Read these reference files before drafting:
Best Fit
- data-driven blog drafting
- learn pages and tutorials built from research notes
- glossary or concept pages built from product facts and supporting examples
- SEO articles where the user feeds benchmarks, examples, or feature data first
- content workflows where the input is bullets, tables, JSON, spreadsheets, links, or rough notes
- AnyCap website content that should sound operational, answer-first, and product-literate instead of generic content-marketing prose
Before You Start
- Verify AnyCap is available:
anycap status
-
Inspect the page structure before editing:
- find the base page
- find the localized wrapper
- check whether localized or duplicated routes simply re-export the base page
-
Normalize the input into a brief:
- what is the article topic?
- who is it for?
- what does the data actually prove?
- what is the one-sentence answer or promise?
- what can be stated confidently, and what is still unknown?
-
Check the git worktree and do not overwrite unrelated user edits.
What ships with it
4 files 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.
- 2d ago Changed b2e962d0255d
- 11d ago First seen · 242 lines · 143 tokens per session scan A fd57d914fcaf
anycap-blog-production is a skill published in the GitHub repository anycap-ai/anycap (43 stars, last pushed 3d ago), licensed MIT. It adds 143 tokens to every session and 2,249 once invoked, about $0.0007 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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