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
• The skill depends on several Python scripts and local modules, but SKILL.md does not document installation steps, required dependencies, or the exact validate.py invocation command.
• No OpenAgentSkill engagement data yet
• High-risk permission hints: Shell or command execution
• It reads untrusted JSON artifacts from work_dir and may perform optional web research; there is no explicit note that work_dir evidence files must be treated as data, not as instructions.

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
• The skill depends on several Python scripts and local modules, but SKILL.md does not document installation steps, required dependencies, or the exact validate.py invocation command.
• No OpenAgentSkill engagement data yet
• High-risk permission hints: Shell or command execution
• It reads untrusted JSON artifacts from work_dir and may perform optional web research; there is no explicit note that work_dir evidence files must be treated as data, not as instructions.

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
• The skill depends on several Python scripts and local modules, but SKILL.md does not document installation steps, required dependencies, or the exact validate.py invocation command.
• No OpenAgentSkill engagement data yet
• High-risk permission hints: Shell or command execution
• It reads untrusted JSON artifacts from work_dir and may perform optional web research; there is no explicit note that work_dir evidence files must be treated as data, not as instructions.

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
• The skill depends on several Python scripts and local modules, but SKILL.md does not document installation steps, required dependencies, or the exact validate.py invocation command.
• No OpenAgentSkill engagement data yet
• High-risk permission hints: Shell or command execution
• It reads untrusted JSON artifacts from work_dir and may perform optional web research; there is no explicit note that work_dir evidence files must be treated as data, not as instructions.