Skill audit report

implementation-planning Audit report.

Turns finalized requirements and design documents into an executable, sequenced build plan. Reads the SRS, use cases, architecture document, and UX-foundations document, then decomposes the system into epics and vertical feature slices — each tracing the FR IDs it implements, the UC IDs it realizes, and the SCR screen IDs it touches — defines the walking skeleton, orders the work by dependency and risk, verifies Must-requirement coverage, specifies the first vertical slice, and lists the engineering foundations to stand up. Use in the planning phase — after software-architecture and ux-foundations, before scaffolding or coding — whenever a designed application needs to become a backlog and a build order. Trigger on "plan the implementation", "break this into epics and features", "what do we build first", "create the build plan", "turn the architecture into a roadmap", or "sequence the work". It stops at the plan; per-slice detailed design and ui design are separate downstream steps.

BLOCKED · BLOCKNeeds reviewGenerated Oct 14, 2026Heuristic metadata audit
70
Audit
65
Trust
54
Quality
69
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

65
Manual review

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

FAIL

30

20 GitHub stars

Stars/forks activity

FAIL

32

20 stars, 2 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

5d since push

License clarity

PASS

86

Apache-2.0

README/SKILL.md completeness

INFO

76

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

WARN

46

command execution surface, credential or environment access

Install availability

PASS

92

npx skills add zeeshanhanif/agentic-sdlc-kit --skill implementation-planning

Install command safety

PASS

92

standard package or runtime install path

Permission surface

FAIL

22

secrets or environment access, shell or command execution

Repository evidence

PASS

86

https://github.com/zeeshanhanif/agentic-sdlc-kit/tree/main/skills/implementation-planning

Review status

WARN

46

AI review approval is missing

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 16 Needs review

Install path

92

PASS

npx skills add zeeshanhanif/agentic-sdlc-kit --skill implementation-planning

Repository

88

PASS

https://github.com/zeeshanhanif/agentic-sdlc-kit/tree/main/skills/implementation-planning

License

86

PASS

Apache-2.0

Maintenance

100

PASS

5d since push

AI review

55

CHECK

Review approval is missing

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

46

FIX

command execution surface, credential or environment access

Install command safety

92

PASS

standard package or runtime install path

Permission surface

22

FIX

secrets or environment access, shell or command execution

Stars/forks activity

32

FIX

20 stars, 2 forks; issue activity unavailable in current metadata

Adoption

42

CHECK

20 GitHub stars

Warnings

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Low GitHub adoption signal
  • AI review approval is missing
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 20 GitHub stars
  • Stars/forks activity: 20 stars, 2 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
  • Review status: AI review approval is missing

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

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