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/comet-ml/comet-examples/agents-mdgit clone --depth 1 https://github.com/comet-ml/comet-examplesWhat 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 | $0.01587 | $0.01587 |
| Opus 5 | $0.00794 | $0.00794 |
| Sonnet 5 | $0.00317 | $0.00317 |
| Haiku 4.5 | $0.00159 | $0.00159 |
Grade A, and why
comet-examples AGENTS.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 2d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 2d ago First seen · 147 lines · 1,587 tokens per session scan A 454f2a43d706
comet-examples AGENTS.md is an instructions file published in the GitHub repository comet-ml/comet-examples (176 stars, last pushed 20d ago), with no licence file. It adds 1,587 tokens to every session, about $0.0079 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.
Other instructions, from other repositories
PINA AGENTS.md
Instructions for PINA-org/PINA, covering pina — physics-informed neural architectures, quick reference, workflow: problem → model → solver → trainer, problem types and condition types.
model_guided_research CLAUDE.md
Claude Code instructions for Dicklesworthstone/model_guided_research: RULE NUMBER 1 (NEVER EVER EVER FORGET THIS RULE!!!): YOU ARE NEVER ALLOWED TO DELETE A FILE WITHOUT EXPRESS PERMISSION FROM ME OR A DIRECT COMMAND FROM ME. EVEN A NEW FILE THAT YOU YOURSELF CREATED, SUCH AS A TEST CODE FILE. YOU HAVE A HORRIBLE…
pytorch_template CLAUDE.md
Instructions for Axect/pytorch_template, covering pytorchtemplate, migration skill maintenance rule, when adding a new feature, when modifying an existing feature and development workflow.
PINA CLAUDE.md
Instructions for PINA-org/PINA, a project described as: Physics-Informed Neural networks for Advanced modeling.
model_guided_research AGENTS.md
AGENTS.md instructions for Dicklesworthstone/model_guided_research, covering mcp agent mail — multi-agent coordination, issue tracking with br (beadsrust), basics, using bv as an ai sidecar and morph warp grep — ai-powered code search.
streamlit copilot-instructions.md
Copilot instructions for streamlit/streamlit, covering streamlit repo overview, tech stack, folder structure, shell & build policy and make commands.