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 skills/daxaur/openpaw/c-researchnpx skills add daxaur/openpaw --skill c-researchgit clone --depth 1 https://github.com/daxaur/openpawWrote 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/daxaur/openpaw/c-research)<a href="https://agentmods.dev/skills/daxaur/openpaw/c-research"><img src="https://agentmods.dev/badge/skills/daxaur/openpaw/c-research.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 | $0.00052 | $0.00389 |
| Opus 5 | $0.00026 | $0.00195 |
| Sonnet 5 | $0.00010 | $0.00078 |
| Haiku 4.5 | $0.00005 | $0.00039 |
Grade A, and why
c-research 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 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.
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.
What it actually says
What This Skill Does
Uses the summarize CLI to extract key information from URLs, PDFs, YouTube videos, and podcast feeds. Returns a concise summary of the content.
CLI Tool: summarize
Common Commands
# Summarize a web URL
summarize https://example.com/article
# Summarize a PDF (local file or URL)
summarize /path/to/document.pdf
summarize https://example.com/report.pdf
# Summarize a YouTube video
summarize https://www.youtube.com/watch?v=VIDEO_ID
# Summarize a podcast episode
summarize https://podcast-feed-url.com/episode.mp3
# Request a specific output format
summarize --format bullets https://example.com/article
summarize --format paragraph https://example.com/article
Usage Guidelines
- Always pass the full URL or absolute file path.
- For YouTube, use the full
watch?v=URL — short links may not resolve. - If the user asks to "look up", "read", or "check" a link, default to summarizing it.
- Present the summary in a clean, readable format — use bullet points for articles, prose for videos/podcasts.
Notes
- Requires an active internet connection for remote content.
- Very large PDFs may take longer to process.
- If
summarizeis not installed, check the project docs for the install method.
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 · 46 lines · 52 tokens per session scan A c3f3097eee74
c-research is a skill published in the GitHub repository daxaur/openpaw (167 stars, last pushed 3mo ago), licensed MIT. It adds 52 tokens to every session and 389 once invoked, about $0.0003 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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