Skill audit report
The craft of sourcing companies from Anysite's 70M+ LinkedIn company database (search_sql_companies) - turning a fuzzy ICP into per-field DSL filters that return real matches instead of token soup. Fixes the default failure mode where naive keyword queries return companies from the wrong country, wrong industry and stub pages. Use when the user asks to find/source companies, build a company list, complains that company search results are bad or irrelevant, or needs a target-account universe - "найди компании", "плохие результаты поиска компаний", "source accounts". For people at those companies use anysite-people-sourcing; for funding-stage filters use crunchbase; for pushing into a CRM use anysite-crm-prospect.
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
3d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN56
credential or environment access, network or browser surface
Install availability
PASS92
npx skills add anysiteio/agent-skills --skill anysite-company-sourcing
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
secrets or environment access, network or browser access
Repository evidence
PASS86
https://github.com/anysiteio/agent-skills/tree/main/plugins/anysite-gtm/skills/anysite-company-sourcing
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add anysiteio/agent-skills --skill anysite-company-sourcing
Repository
88
https://github.com/anysiteio/agent-skills/tree/main/plugins/anysite-gtm/skills/anysite-company-sourcing
License
86
MIT
Maintenance
100
3d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
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
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K Stars · Audit report
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
62K Stars · Audit report
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38K Stars · Audit report
Usable description available
Dependency risk
56
credential or environment access, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
48
secrets or environment access, network or browser access
Stars/forks activity
32
20 stars, 5 forks; issue activity unavailable in current metadata
Adoption
42
20 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.
Test manually in an isolated workspace and compare against safer alternatives.
Browser automation
mediumSkill may drive a browser or interact with web pages.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Secrets or environment access
highSkill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Database access
mediumSkill may inspect schemas, query databases, or work with persistent stores.