twitter Eval
============

Status: failed
Score: 68/100
Risk: high
Decision: do_not_auto_install
Policy: block
Reason: Agent safety gate: This skill should not be selected by an agent without explicit human security review.

Install:
npx skills add ReScienceLab/opc-skills --skill twitter

Required checks:
- PASS Task fit: Task wording matches this skill metadata.
- PASS Install path: Install handoff is available.
- PASS Install command safety: standard package or runtime install path
- WARN Trust score: Potentially useful, but at least one trust signal needs human inspection.
- WARN Audit score: Needs review
- FAIL Agent safety gate: This skill should not be selected by an agent without explicit human security review.
- PASS License clarity: Apache-2.0
- FAIL Permission surface: secrets or environment access, shell or command execution

Warnings:
- Trust score: Potentially useful, but at least one trust signal needs human inspection.
- Audit score: Needs review
- README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context
- High-risk permission hints: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- SKILL.md instructs users to export API key in ~/.zshrc, which is a shell-specific configuration and may not be portable across environments (e.g., Windows, CI).
- The skill does not explicitly warn against using it with untrusted input or mention rate limits/error handling for API failures.
- The plugin.json declares MIT license while the repository is Apache-2.0; this inconsistency could cause confusion.
- No explicit documentation on data retention or compliance with Twitter's terms of service for the API.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution

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

Do not use when:
- teams that need a vendor-supported SLA
- production agents without a repository review
- SKILL.md instructs users to export API key in ~/.zshrc, which is a shell-specific configuration and may not be portable across environments (e.g., Windows, CI).
- No OpenAgentSkill engagement data yet
- High-risk permission hints: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The skill does not explicitly warn against using it with untrusted input or mention rate limits/error handling for API failures.

URLs:
- Skill: https://www.openagentskill.com/skills/resciencelab-twitter
- Audit: https://www.openagentskill.com/skills/resciencelab-twitter/audit
- JSON: https://www.openagentskill.com/api/agent/evals?slug=resciencelab-twitter