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 geronimo-iia/agent-skills --skill research-extractiongit clone --depth 1 https://github.com/geronimo-iia/agent-skillsWrote 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/geronimo-iia/agent-skills/research-extraction)<a href="https://agentmods.dev/skills/geronimo-iia/agent-skills/research-extraction"><img src="https://agentmods.dev/badge/skills/geronimo-iia/agent-skills/research-extraction/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/geronimo-iia/agent-skills/research-extraction"><img src="https://agentmods.dev/badge/skills/geronimo-iia/agent-skills/research-extraction.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 | $0.00087 | $0.07173 |
| Opus 5 | $0.00044 | $0.03587 |
| Sonnet 5 | $0.00017 | $0.01435 |
| Haiku 4.5 | $0.00009 | $0.00717 |
Grade A, and why
research-extraction 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 4d 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.
"Bash(curl *)", How it starts
The opening of the file, as written. The whole thing — 679 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Extraction
Apply kb-conventions skill for annotation markers, KB directory layout,
frontmatter schema, and synthesis impact rules.
Multi-axis, confidence-annotated extraction from a research corpus using a Workflow that fans out extractor subagents and gates progression through a reviewer agent after each axis.
Prerequisites
Add to .claude/settings.json (or .claude/settings.local.json) before running:
{
"permissions": {
"allow": [
"Bash(xberg *)",
"Bash(uvx marker-pdf *)",
"Bash(curl *)",
"Bash(mkdir *)",
"Bash(cp *)",
"Bash(cat *)"
]
}
}
For fully unattended runs (CI, cron), launch the Claude Code session with --dangerously-skip-permissions instead.
When to use
- Multiple raw source files (theses, papers, reports) covering one system
- Claims must be traceable to exact source sections with confidence markers
- Extraction spans multiple axes too large for one context window
- You want reviewer-gated, disk-persisted progression (not manual session seeds)
- Resuming a partial run — pass
resumeFromRunId(preferred over manual restart; completed phases return from cache instantly)
Core architecture
Workflow
phase("Step 0")
→ extractor agent: reads ALL sources, writes reading summary + working memory dump
→ reviewer agent: checks summary completeness, returns confirmed facts JSON
phase("Axis N") [sequential, one per axis]
→ extractor agent: reads seed (confirmed facts from prior phases), writes extract-<axis>.md
→ reviewer agent: runs checklist, returns {pass: bool, issues: string[], confirmed_facts: ...}
→ if !pass: re-run extractor with issues until pass (max 2 retries)
phase("Formalization")
→ extractor agent: reads all confirmed extract-*.md, produces code sketches
→ reviewer agent: checks sketch coverage
Each phase writes its output to disk before the next begins. Reviewer is a separate agent — independent read of the output file, no shared context with extractor.
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.
- 4d ago Changed · +72 lines 751346518cbb
- 9d ago First seen · 607 lines · 87 tokens per session scan A 20afdee1b6d1
research-extraction is a skill published in the GitHub repository geronimo-iia/agent-skills (2 stars, last pushed 9d ago), licensed MIT. It adds 87 tokens to every session and 7,173 once invoked, about $0.0004 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 skills, from other repositories
paper2code
Converts an arxiv paper into a minimal, citation-anchored Python implementation. Trigger when user runs /paper2code with an arxiv URL or paper ID, says "implement this paper", or pastes an arxiv link asking for implementation. Flags all ambiguities honestly. Never invents implementation details not stated in the paper.
biopython
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use…
python-math
Small Python utilities for math and text files.
mandela
Audit any eval, metric, experiment, or benchmark for leakage — does external ground-truth enter independently, or are the model, scorer, and designer just confirming a result no outside truth ever produced? Use before trusting any 'how we'll know it worked' — an A/B, a holdout, a score, a validation — and whenever a…
commands-create-slash-command
Create or update Agent Zero slash commands for the built-in Commands plugin. Use when the user asks to add, edit, duplicate, or refine a reusable /command backed by YAML config plus text/python content files.
paper2poster
Convert academic papers (PDF) into conference posters (HTML/PNG). You are the conductor: you decide what each section needs — an original paper figure or text — write the outline, hand-author the poster HTML, and iterate on the render using your own visual read and a blind-reader content quiz. Use when the user wants…