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 OpenCoven/coven --skill research-ingestiongit clone --depth 1 https://github.com/OpenCoven/covenWrote 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/opencoven/coven/research-ingestion)<a href="https://agentmods.dev/skills/opencoven/coven/research-ingestion"><img src="https://agentmods.dev/badge/skills/opencoven/coven/research-ingestion/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/opencoven/coven/research-ingestion"><img src="https://agentmods.dev/badge/skills/opencoven/coven/research-ingestion.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00056 | $0.01015 |
| Opus 5 | $0.00028 | $0.00508 |
| Sonnet 5 | $0.00011 | $0.00203 |
| Haiku 4.5 | $0.00006 | $0.00102 |
Grade C, and why
research-ingestion scanned grade C with 3 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 10d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -sL "<url>" | python3 -c " Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sL "<url>" | python3 -c " Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
result = subprocess.run(['pdftotext', '-', '-'], input=sys.stdin.buffer.read(), capture_output=True) How it starts
The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Ingestion
Analyze research papers and extract actionable insights for OpenClaw agent workflows.
Trigger Phrases
- "analyze this paper", "read this research", "extract insights from"
- "turn this paper into a skill", "what can we learn from this paper"
- "research to skill", "/research"
Workflow
1. Obtain Paper Text
From URL (arXiv, PDF link, blog post):
# Use the summarize skill for URLs
# Or fetch + extract directly:
curl -sL "<url>" | python3 -c "
import sys
try:
import fitz # PyMuPDF
doc = fitz.open(stream=sys.stdin.buffer.read(), filetype='pdf')
print('\n'.join(page.get_text() for page in doc))
except ImportError:
# Fallback: use pdftotext if available
import subprocess
result = subprocess.run(['pdftotext', '-', '-'], input=sys.stdin.buffer.read(), capture_output=True)
print(result.stdout.decode())
"
From local file:
python3 -c "
import fitz
doc = fitz.open('$FILE_PATH')
for page in doc: print(page.get_text())
"
Fallback (no PDF tools):
Use the summarize skill or web_fetch tool on the paper's URL. For arXiv papers, use the HTML version: https://arxiv.org/html/<id>.
2. Analyze with Structured Extraction
After obtaining the text, extract these categories:
## Paper: <title>
Authors: <authors>
Published: <date>
Source: <url>
### Core Contribution
<1-2 sentence summary of what's new>
### Key Techniques
- <technique 1>: <how it works, 2-3 sentences>
- <technique 2>: ...
### Agent Workflow Implications
- <how this applies to OpenClaw agent behavior>
- <specific workflow improvements suggested>
### Actionable Insights
1. <concrete thing we can implement>
2. <concrete thing we can implement>
### Skill Candidates
- <potential skill name>: <what it would do, trigger phrases>
### Limitations & Caveats
- <what doesn't apply or needs adaptation>
3. Generate Skill (if requested)
When asked to turn insights into a skill, use this scaffold:
---
name: <skill-name>
description: <one-line description derived from paper insight>
---
# <Skill Name>
Based on: <paper title> (<url>)
## When to Use
<trigger conditions>
## Technique
<extracted technique adapted for OpenClaw context>
## Workflow
<step-by-step procedure>
## Example
<concrete usage example>
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.
- 10d ago First seen · 167 lines · 56 tokens per session scan C 6b1d8f6b0775
research-ingestion is a skill published in the GitHub repository OpenCoven/coven (47 stars, last pushed today), licensed MIT. It adds 56 tokens to every session and 1,015 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 3 findings (downloads and executes remote code, makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
cw-gates
Use before claiming any Codewhale change is done, green, or ready to land: the focused-to-broad verification ladder, the budget checks CI enforces, and the rules for what counts as a passing test.
interview
Ask one useful structured question at a time only when material product/implementation choices are genuinely missing; remember answers and produce a brief/spec. Discoverable facts should be investigated instead of asked.
ppt-review
Read this skill only after current officereview structural output and relevant rendered images exist. Do not use source code, a tool success flag, or the first-slide preview as a substitute for deck evidence.
package-installer
Install third-party open-source projects (a GitHub URL or a local git directory the user provides) as external packages. The project is cloned verbatim into the per-user packages directory — never edit, normalize, or reorganize its files.
quality-hooks
Language-specific auto-lint/format/typecheck pipeline. Supports Python (ruff+pyright), TypeScript (prettier+eslint+tsc), Go (gofmt+golangci-lint). Auto-fix and convergence loops.
cog-knowledge-consolidation
Build structured knowledge frameworks from scattered vault notes with source attribution.