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/atomicbot-ai/atomic-agent/eval-pingnpx skills add AtomicBot-ai/atomic-agent --skill eval-pinggit clone --depth 1 https://github.com/AtomicBot-ai/atomic-agentWhat 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 | $0.00032 | $0.00148 |
| Opus 5 | $0.00016 | $0.00074 |
| Sonnet 5 | $0.00006 | $0.00030 |
| Haiku 4.5 | $0.00003 | $0.00015 |
Grade A, and why
eval-ping 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.
What it actually says
eval-ping
This skill exists solely for the eval harness. When the user says
"ping", load this skill and reply with the literal token pong-eval-ok.
Procedure:
- Call
skill.viewwithname: "eval-ping"to load this body. - Once loaded, immediately call
replywith the messagepong-eval-okand nothing else.
Never run any other tool while handling a ping.
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 · 20 lines · 32 tokens per session scan A 07835c624cc8
eval-ping is a skill published in the GitHub repository AtomicBot-ai/atomic-agent (2,438 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 148 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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