Skill audit report
use before circulating any scientific text, human- or LLM-drafted — a clarity and integrity linter: hype vocabulary, empty sentence structures, agentless prose, number discipline, and honesty failures; one pass is never enough.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
20 GitHub stars
Stars/forks activity
FAIL32
20 stars, 5 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
4d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
credential or environment access
Install availability
PASS92
npx skills add BootLoops-ai/skills --skill prose-lint
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN60
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/BootLoops-ai/skills/tree/main/skills/prose-lint
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add BootLoops-ai/skills --skill prose-lint
Repository
88
https://github.com/BootLoops-ai/skills/tree/main/skills/prose-lint
License
86
MIT
Maintenance
100
4d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
72
credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
60
secrets or environment access, filesystem or document access
Stars/forks activity
32
20 stars, 5 forks; issue activity unavailable in current metadata
Adoption
42
20 GitHub stars
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.
Compare nearby options
Compiles a single raw Hylo note into knowledge units using a two-phase AI process (triage → compile). Use this skill whenever the user wants to compile a note into knowledge, extract knowledge from a note, update the knowledge base from a note, merge note content into knowledge units, or run knowledge compilation. Triggers on phrases like 'compile this note', 'compile note into knowledge', 'extract knowledge from note', 'update knowledge base', 'run compile on', or any request to turn a raw note into structured knowledge units.
91 Stars · Audit report
Builds and refreshes domain-based index files for the Hylo knowledge base. Use this skill whenever the user wants to build, rebuild, refresh, or update the knowledge index, create domain indexes, organize knowledge by domain, or index the knowledge base. Triggers on phrases like 'build knowledge index', 'rebuild index', 'refresh knowledge index', 'update domain indexes', 'index my knowledge base', 'regenerate index', or any request to create or maintain the knowledge index files.
91 Stars · Audit report
Reviews content against the Hylo knowledge base (_knowledge/) and surfaces what's related and what's in tension. Covers two scenarios: (1) associative recap — cross-check a single short note, daily note, draft, or pasted text against the knowledge base right now, while the thought is fresh; (2) periodic review — recap everything created or updated over a recent window (e.g. the past week). Trigger on phrases like 'recap this', 'what do I already know that relates to this', 'does this conflict with anything I've written', 'weekly review', 'review this week's notes', '联想', '回顾一下', '和我的知识库对照一下', '有没有矛盾的观点', '实时联想', '本周回顾', '周回顾', or any request to recall related or conflicting knowledge, either for a piece of writing or for a recent time window.
91 Stars · Audit report