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 skills/companion-inc/feynman/diffdocknpx skills add companion-inc/feynman --skill diffdockgit clone --depth 1 https://github.com/companion-inc/feynmanWhat 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 | $0.00041 | $0.00202 |
| Opus 5 | $0.00020 | $0.00101 |
| Sonnet 5 | $0.00008 | $0.00040 |
| Haiku 4.5 | $0.00004 | $0.00020 |
Grade A, and why
diffdock 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 3d 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
DiffDock
Use this skill for protein-ligand docking and pose review.
Workflow:
- Record protein source, chain selection, binding site context, ligand identity, protonation/tautomer assumptions, and known cofactors.
- Verify the available execution path and dependency stack before claiming a docking run is possible.
- Preserve input PDB/mmCIF, ligand SDF/SMILES, prepared structures, command, seed, package version, and logs.
- Save ranked poses, confidence scores, contact summaries, and 3D previews as Feynman artifacts.
- Compare poses against known ligands, active-site residues, experimental structures, or orthogonal docking where the conclusion matters.
Report docking as a ranked hypothesis, not binding proof.
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.
- 3d ago First seen · 19 lines · 41 tokens per session scan A e45cf04efc8c
diffdock is a skill published in the GitHub repository companion-inc/feynman (8,662 stars, last pushed 7d ago), licensed MIT. It adds 41 tokens to every session and 202 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 2026-08-30.
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