c-research

c-research is a skill for Claude Code, Codex from daxaur/openpaw. It costs 52 tokens per session (389 once invoked), scanned A, original, MIT.

A command-line summarizer for web pages, PDF documents, YouTube videos, and podcast episodes.

In plain words
What is it for?
Use it for research, link digests, document review, and quick summaries of videos or podcasts, with bullet or paragraph output.
Why use it?
It extracts the main points from lengthy online or local content, reducing the need to read or watch everything manually.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for research, link digests, document review, and quick summaries of videos or podcasts, with bullet or paragraph output.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/daxaur/openpaw/c-research
Install

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.

Any agent
npx skills add daxaur/openpaw --skill c-research
Clone the repo
git clone --depth 1 https://github.com/daxaur/openpaw

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for c-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/daxaur/openpaw/c-research/github.svg)](https://agentmods.dev/skills/daxaur/openpaw/c-research)
Your own site
<a href="https://agentmods.dev/skills/daxaur/openpaw/c-research"><img src="https://agentmods.dev/badge/skills/daxaur/openpaw/c-research/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.

agentmods 80×15 button for c-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/daxaur/openpaw/c-research"><img src="https://agentmods.dev/badge/skills/daxaur/openpaw/c-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 389 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.00389
Opus 5.5 $0.00021 $0.00156
Sonnet 5.5 $0.00010 $0.00078
Haiku 4.5 $0.00005 $0.00039

Measured 1mo ago against content hash c3f3097eee74, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 1mo 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.

skills/c-research/SKILL.md · 46 lines

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

  1. Always pass the full URL or absolute file path.
  2. For YouTube, use the full watch?v= URL — short links may not resolve.
  3. If the user asks to "look up", "read", or "check" a link, default to summarizing it.
  4. 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 summarize is not installed, check the project docs for the install method.
Changes

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.

  1. 1mo ago First seen · 46 lines · 52 tokens per session scan A c3f3097eee74

Subscribe to this mod's changes

c-research is a skill published in the GitHub repository daxaur/openpaw (173 stars, last pushed 5mo ago), licensed MIT. It adds 52 tokens to every session and 389 once invoked, about $0.0002 per session on Opus 5.5. 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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