calculator Eval report.

Validation plan

What the agent should do next

1. 1Inspect repository, README/SKILL.md, license, and recent commits before production use.
2. 2Install in an isolated workspace or sandbox with no production secrets available.
3. 3Run the smallest representative task and record files touched, commands run, network access, and outputs.
4. 4Compare the selected skill against at least one alternative when the eval status is review or failed.
5. 5Promote only after the agent reports a successful verification result and unresolved warnings are accepted.

Do not use when

Conditions that require another skill

• teams that need a vendor-supported SLA
• production agents without a repository review
• main.py does not handle malformed JSON or non-numeric inputs gracefully; json.loads() and float() can raise uncaught exceptions and crash with a traceback.
• No OpenAgentSkill engagement data yet
• Input validation is minimal: missing fields default to add/0, which can silently produce results instead of reporting invalid requests.
• SKILL.md does not document error behavior, limitations, or the exact output format beyond simple examples.