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 agentmods add instructions/mistakeknot/interdeep/claude-mdgit clone --depth 1 https://github.com/mistakeknot/interdeepWhat 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 | $0.00488 | $0.00488 |
| Opus 5 | $0.00244 | $0.00244 |
| Sonnet 5 | $0.00098 | $0.00098 |
| Haiku 4.5 | $0.00049 | $0.00049 |
Grade A, and why
interdeep CLAUDE.md 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 yesterday.
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
interdeep
See
AGENTS.mdfor full development guide.
Overview
Deep research plugin — 4 MCP tools (extract_content, extract_batch, compile_report, research_status), 1 skill (deep-research), 3 agents (research-planner, source-evaluator, report-compiler), 1 command (/research). Python MCP server with trafilatura + optional Playwright extraction. Composes with interject (search), intersynth (synthesis), interknow (knowledge), intercache (caching), interlens (thinking gaps).
Quick Commands
# Run tests
uv run pytest tests/test_extraction.py tests/test_server.py -q
# Run structural tests
cd tests && uv sync && uv run pytest -q && cd ..
# Start MCP server
uv run interdeep-mcp
# Check extraction capability
uv run python -c "from interdeep.extraction.hybrid import extract_hybrid; print(extract_hybrid(html='<p>test</p>', url='https://x.com'))"
Key Files
src/interdeep/server.py— MCP server entrypoint (FastMCP, 4 tools)src/interdeep/extraction/— Content extraction layermodels.py— ExtractionResult dataclasstrafilatura_ext.py— trafilatura wrapperplaywright_ext.py— Playwright fallback (optional)hybrid.py— Router: trafilatura-first, Playwright fallback
src/interdeep/reports/markdown.py— Report compilationskills/deep-research/SKILL.md— 5-phase research orchestration protocolagents/— research-planner, source-evaluator, report-compilercommands/research.md—/researchslash command
Design Decisions (Do Not Re-Ask)
- Plugin owns extraction + orchestration only; search providers are interject's responsibility
- trafilatura fast path + optional Playwright fallback (graceful degradation)
- Host-agent-as-brain: MCP tools are stateless, orchestration intelligence lives in SKILL.md
- GPT-Researcher is inspire + port-partially, not a dependency
- No LangChain dependency — direct MCP protocol
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.
- yesterday First seen · 46 lines · 488 tokens per session scan A ecfc10d858bb
interdeep CLAUDE.md is an instructions file published in the GitHub repository mistakeknot/interdeep (0 stars, last pushed 1mo ago), licensed MIT. It adds 488 tokens to every session, about $0.0024 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.
Other instructions, from other repositories
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Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
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AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
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AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.