Borrowing it
Nothing to install: this file belongs to fulminate-io/knowledge-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/fulminate-io/knowledge-mcp/main/.claude/skills/research/SKILL.mdgit clone --depth 1 https://github.com/fulminate-io/knowledge-mcpWrote 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/fulminate-io/knowledge-mcp/research)<a href="https://agentmods.dev/skills/fulminate-io/knowledge-mcp/research"><img src="https://agentmods.dev/badge/skills/fulminate-io/knowledge-mcp/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 | $0.00039 | $0.01464 |
| Opus 5 | $0.00019 | $0.00732 |
| Sonnet 5 | $0.00008 | $0.00293 |
| Haiku 4.5 | $0.00004 | $0.00146 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research: $ARGUMENTS
For universal orchestration discipline (background spawning, user touch points, non-negotiation), reference /orchestrate. This skill is research-specific.
You are researching a topic using the knowledge store. Delegate to the researcher agent — it is optimized for thorough investigation using semantic search, code graph traversal, and knowledge node queries.
Step 0: Check Index Freshness
manage({ "operation": "status" })
If the index is behind HEAD, tell the user and offer to reindex. Fresh search results are critical for accurate research.
Step 1: Spawn the Researcher Agent
The researcher will: load the context pack → batch-search code (3-5 queries) → deep-dive key functions via traverse → check past decisions → web-search for external context if unsure → record charged thoughts → present findings with precise references.
Findings charge hypotheses. When a research finding confirms or refutes a hypothesis the session recorded as a thought, charge that thought — polarity positive if the finding's evidence SUPPORTS the hypothesis's claim, negative if it CONTRADICTS it — citing the finding node ID via the evidence param. A conclusion that never charges its hypothesis leaves the reasoning graph permanently under-evidenced.
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 · 135 lines · 39 tokens per session scan A 884d9692daa1
research is a skill published in the GitHub repository fulminate-io/knowledge-mcp (1 stars, last pushed 2d ago), licensed Apache-2.0. It adds 39 tokens to every session and 1,464 once invoked, about $0.0002 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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