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bmad-prd Audit Report | OpenAgentSkill | OpenAgentSkill

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Skills/bmad-prd/Audit

Skill audit report

bmad-prd Audit report.

Create, update, or validate a PRD. Use when the user wants help producing, editing, or validating a PRD.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Oct 8, 2026Heuristic metadata audit

72

Audit

67

Trust

59

Quality

78

Security

88

Maintain

92

Install

OpenAgentSkill Trust Score

67

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

Explore

Skills Gallery New submissions Agent Skills

More links

What Is an Agent Skill?AI Agent Skills Tasks Packs Best Skills New & Trending Workflow Recipes Use Cases Agents Agent Entry

Trust

Compare Safety Gate Skills Registry Rankings

More links

Outcome Loop Audits Official Weekly Reports Monthly Index State of Agent Skills vs skills.sh AgentSkills.io Alternative

Build

Docs About Contact Sponsor API

More links

llms.txt OpenAPI CLI Creator Kit Skill Creators X Growth Kit Submit Blog Guides Activity

OpenAgentSkill Registry

Privacy Contact SponsorBuilt for agent-native discovery

Manual review

OpenAgentSkill Trust Score

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

GitHub adoption

WARN

48

32 GitHub stars

Stars/forks activity

WARN

43

32 stars, 4 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

1mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

82

network or browser surface

Install availability

PASS

92

npx skills add skyf0xx/hedgehog --skill bmad-prd

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

72

filesystem or document access, network or browser access

Repository evidence

PASS

86

https://github.com/skyf0xx/hedgehog/tree/master/vendor-skills/BMAD/bmm-skills/plan/bmad-prd

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

7 Passed · 14 Needs review

Install path

92

PASS

npx skills add skyf0xx/hedgehog --skill bmad-prd

Repository

88

PASS

https://github.com/skyf0xx/hedgehog/tree/master/vendor-skills/BMAD/bmm-skills/plan/bmad-prd

License

86

PASS

MIT

Maintenance

88

PASS

1mo since push

AI review

55

CHECK

SKILL.md instructs running repository scripts via `uv run` and loading files via glob patterns, which assumes the skill is run within a trusted repository context. If the repository is untrusted, this could execute arbitrary code or read unintended files.

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

82

PASS

network or browser surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

72

CHECK

filesystem or document access, network or browser access

Stars/forks activity

43

FIX

32 stars, 4 forks; issue activity unavailable in current metadata

Adoption

42

CHECK

32 GitHub stars

Financial decision safety

58

CHECK

Research-only use: do not treat output as financial advice or execute a position without human approval.

Warnings

Financial research output is not financial advice; require human review before any live investment decision
SKILL.md instructs running repository scripts via `uv run` and loading files via glob patterns, which assumes the skill is run within a trusted repository context. If the repository is untrusted, this could execute arbitrary code or read unintended files.
The skill references an org-configured `external_sources` registry and headless `external_handoffs` with tools like Confluence upload. These are configurable injection/sensitive data exfiltration surfaces if not carefully guarded.
No explicit statement in SKILL.md about limiting file access to the designated workspace or validating inputs from untrusted users, though this is a normal agent-environment concern.
Low GitHub adoption signal
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
GitHub adoption: 32 GitHub stars
Stars/forks activity: 32 stars, 4 forks; issue activity unavailable in current metadata

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.

Install path

Review the report before installing into production agents.

$ npx skills add skyf0xx/hedgehog --skill bmad-prd

Agent-readable metadata

Machine decision packet

Embedded JSON exposes suited tasks, suited agents, install command, trust score, safety gate, alternatives, and do-not-use conditions for agent review.

Install policy: review
Best agents: Codex + Claude Code
Alternatives: 3

Open agent JSON

Signals

Audit score: 72/100
Quality: 59/100
Trust: 67/100
Install safety: 92/100
Permission surface: 72/100
Maintenance: 1mo since push
Events: 3 events
GitHub stars: 32
Last push: Aug 26, 2026

Agent safety v2

52/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Financial research output is not financial advice; require human review before any live investment decision
52/100 agent safety score

Browser automation

medium

Skill may drive a browser or interact with web pages.

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

Filesystem access

medium

Skill may read or write project files, documents, generated artifacts, or local workspace state.

Financial research output is not financial advice; require human review before any live investment decision

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