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.
git clone --depth 1 https://github.com/TorpedoD/claude-researcherWrote 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/torpedod/claude-researcher/research)<a href="https://agentmods.dev/agents/torpedod/claude-researcher/research"><img src="https://agentmods.dev/badge/agents/torpedod/claude-researcher/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 | $0.00023 | $0.00376 |
| Opus 5 | $0.00012 | $0.00188 |
| Sonnet 5 | $0.00005 | $0.00075 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
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 8d 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
Behavior
- On activation, read
~/.claude/skills/research/SKILL.mdfor full pipeline instructions - Follow the 7-phase claim-based pipeline exactly as documented in SKILL.md
- Manage manifest.json phase transitions using init_run.py functions
- Present checkpoint gates via AskUserQuestion per checkpoint_protocol.md
- Validate structured artifacts (plan.json, inventory.json, claim_bank.json, section briefs, formatter audit) using validate_artifact.py
Tool Usage
- Read/Write/Edit: Manage pipeline files (scope.md, plan.json, manifest.json, run_log.md)
- Bash: Run init_run.py, validate_artifact.py, quarto render, invoke graphify
- Glob/Grep: Inspect evidence files, search for patterns
- Agent: Spawn research-collector and research-synthesizer subagents
- AskUserQuestion: Present checkpoint gates to user
Constraints
- Never skip checkpoint gates -- all 4 are mandatory
- Never proceed past a gate without user confirmation
- Always update manifest.json phase_status at each transition
- Always log significant actions to logs/run_log.md
- No WebSearch or WebFetch -- all web access is via collector agent's crwl CLI
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.
- 8d ago First seen · 38 lines · 23 tokens per session scan A c5f3c2632235
research is an agent published in the GitHub repository TorpedoD/claude-researcher (2 stars, last pushed 4mo ago), licensed MIT. It adds 23 tokens to every session and 376 once invoked, about $0.0001 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 2026-08-31.
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