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 commands/chemaclass/agnostic-ai/sample-agentgit clone --depth 1 https://github.com/Chemaclass/agnostic-aiWrote 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/commands/chemaclass/agnostic-ai/sample-agent)<a href="https://agentmods.dev/commands/chemaclass/agnostic-ai/sample-agent"><img src="https://agentmods.dev/badge/commands/chemaclass/agnostic-ai/sample-agent.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 | $0.00008 | $0.00053 |
| Opus 5 | $0.00004 | $0.00026 |
| Sonnet 5 | $0.00002 | $0.00011 |
| Haiku 4.5 | $0.00001 | $0.00005 |
Grade A, and why
sample-agent 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.
This is a copy
80% identical to alpha — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
You are a sample agent used in golden tests.
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 · 8 lines · 8 tokens per session scan A e51357da8fb3
sample-agent is a command published in the GitHub repository Chemaclass/agnostic-ai (11 stars, last pushed 6d ago), licensed MIT. It adds 8 tokens to every session and 53 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 80% identical to alpha, differing in 7 lines, and is treated as a copy.
Other commands, from other repositories
tldr
Re-apply TLDR rules for this turn (verdict first, no filler).
tldr-help
Quick reference card for tldr modes, slash commands, and triggers.
tldr-update
Update TLDR from GitHub and refresh installed agent hooks/skills/rules.
tldr-commit
Generate tldr-style commit message (verdict first, ≤50 char subject, why over what).
tldr-compress
Compress natural language files into TLDR format to save input tokens.
tldr-review
One-line TLDR PR review comments (verdict first, no filler).