analyzing-api-gateway-access-logs Eval
======================================

Status: failed
Score: 64/100
Risk: high
Decision: do_not_auto_install
Policy: block
Reason: Permission surface: secrets or environment access, network or browser access

Install:
npx skills add adriannoes/awesome-agentic-ai --skill analyzing-api-gateway-access-logs

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
- WARN Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
- PASS License clarity: Apache-2.0
- FAIL Permission surface: secrets or environment access, network or browser access

Warnings:
- Trust score: Potentially useful, but at least one trust signal needs human inspection.
- Audit score: Needs review
- Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
- README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context
- High-risk permission hints: Secrets or environment access
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- SKILL.md does not document installation steps, exact CLI usage, or expected input log schema, making the skill harder to operate correctly.
- The script assumes specific columns (e.g., timestamp, status_code, resource_id, source_ip) with little validation; malformed or differently-shaped logs will cause errors or false findings.
- No explicit warning that log content should be treated as untrusted data; an AI agent could be influenced by instructions embedded in log fields.
- The generated report may include raw query strings, request bodies, and paths without redaction, which could expose sensitive tokens or secrets if shared.
- Safe operating boundaries are under-specified: no guidance on authorized environments, log retention, or handling of potentially sensitive production logs.

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 does not document installation steps, exact CLI usage, or expected input log schema, making the skill harder to operate correctly.
- No OpenAgentSkill engagement data yet
- High-risk permission hints: Secrets or environment access
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The script assumes specific columns (e.g., timestamp, status_code, resource_id, source_ip) with little validation; malformed or differently-shaped logs will cause errors or false findings.

URLs:
- Skill: https://www.openagentskill.com/skills/adriannoes-analyzing-api-gateway-access-logs
- Audit: https://www.openagentskill.com/skills/adriannoes-analyzing-api-gateway-access-logs/audit
- JSON: https://www.openagentskill.com/api/agent/evals?slug=adriannoes-analyzing-api-gateway-access-logs