Skill audit report
The requirements cycle, turn a strategy statement, a release target and a set of affected surfaces into an evidence-tagged, gated HANDOFF PACKAGE: spec.md, plan.md, data-model.md, contracts/, slices.json, a design gate and a case contract, plus the record that makes all of it auditable. Five phases: P0 context lock (the north-star metric elicited fresh every cycle) → P1 research → P2 strategy → P3 product spec → P4 handoff. Use when someone says "run the requirements cycle", "write the PRD / handoff package for <feature>", "prep the design gate", "requirements for the next release", or hands a strategy statement that needs to become buildable work. NOT for writing code, running CI, deploying or merging, an engineering toolchain owns those; NOT for release verification (pm-verify-release-v1); NOT for scoring a backlog batch (pm-portfolio-v1).
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
36 GitHub stars
Stars/forks activity
WARN43
36 stars, 2 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
14d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add naderelewa/Product-to-Prod --skill pm-requirements-v1
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/naderelewa/Product-to-Prod/tree/main/skills/pm-requirements-v1
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add naderelewa/Product-to-Prod --skill pm-requirements-v1
Repository
88
https://github.com/naderelewa/Product-to-Prod/tree/main/skills/pm-requirements-v1
License
86
MIT
Maintenance
100
14d since push
AI review
55
The excerpt does not explicitly state that evidence sources or external documents encountered during research must be treated as untrusted data, which is a mild prompt-injection hardening gap.
README/SKILL.md completeness
Warnings
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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86
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
62
shell or command execution, filesystem or document access
Stars/forks activity
43
36 stars, 2 forks; issue activity unavailable in current metadata
Adoption
42
36 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
The tracked source changed or could not be synchronized. Review the current source before installing.
Shell or command execution
highSkill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Filesystem access
mediumSkill may read or write project files, documents, generated artifacts, or local workspace state.