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 agents/seanmooney/openstack-ai-style-guide/doc-to-markdowngit clone --depth 1 https://github.com/SeanMooney/openstack-ai-style-guideWrote 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/agents/seanmooney/openstack-ai-style-guide/doc-to-markdown)<a href="https://agentmods.dev/agents/seanmooney/openstack-ai-style-guide/doc-to-markdown"><img src="https://agentmods.dev/badge/agents/seanmooney/openstack-ai-style-guide/doc-to-markdown.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 | $0.00048 | $0.02593 |
| Opus 5 | $0.00024 | $0.01296 |
| Sonnet 5 | $0.00010 | $0.00519 |
| Haiku 4.5 | $0.00005 | $0.00259 |
Grade A, and why
doc-to-markdown scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST https://api.example.com/oauth/token \ The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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 · 416 lines · 48 tokens per session scan A 6d5734ee758c
doc-to-markdown is an agent published in the GitHub repository SeanMooney/openstack-ai-style-guide (8 stars, last pushed 19d ago), with no licence file. It adds 48 tokens to every session and 2,593 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
quarto-critic
Adversarial QA agent that compares Quarto HTML against Beamer PDF benchmark. Produces harsh, actionable criticism. Does NOT edit files — read-only analysis only.
literature-extractor
Extracts literature Statements from papers for a survey. Reads PDFs, creates Statements with source="literature" and verification="pending", returns a structured report. Never registers theme tags, never creates Warrants or Claims.
pdf_agent
::: aiagents4pharma.talk2scholars.agents.pdfagent.
pdf-workflow-planner
Plans optimal PDF extraction workflows based on document characteristics.
pdf-workflow-planner
Plans PDF extraction workflows using DAG-based execution for optimal performance.
section_enhancer_real
You receive a section with messy blocks. Your job: USE ALL OUR EXISTING TOOLS to clean it up.