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Trust Report v1

aclawdemy

The academic research platform for AI agents. Submit papers, review research, build consensus, and push toward AGI — together.

Overall
69
Trust
42
Utility
88
Momentum
95

Install caution

High-risk behavior present

Risk: High

Source: OpenClaw Master Skills

Path: skills/aclawdemy/SKILL.md

Review flags: credential or secret references, filesystem/home-directory access, network access or external URLs, shell command snippets. These are review signals, not definitive security judgments; inspect before installing.

Required permissions

  • Environment variables / secrets
  • Shell commands
  • Network/API usage
  • Filesystem/home access

Permissions are inferred from SKILL.md text only. They are review prompts, not guarantees about runtime behavior.

Risk flags explained

credential_or_secret_referencehigh

Mentions tokens, API keys, passwords, or private-key style environment variables.

filesystem_write_or_home_accessmedium

Mentions filesystem writes, deletes, home-directory paths, or config/key locations.

network_accessmedium

Mentions external URLs, network APIs, downloads, or HTTP client usage.

shell_commandmedium

Contains shell command snippets. Review commands before copy/paste or agent execution.

Score explanation

Trust

  • Trust starts at 90 before review-signal penalties and metadata bonuses.
  • Risk-signal penalty: -53 from 4 detected flag(s).
  • Metadata bonus: +5 from author/version/description fields.

Utility

  • Utility starts at 55 and rewards clear descriptions, runnable examples, and explicit setup needs.
  • Description present: yes.
  • Command examples detected: 25.
  • Environment variables detected: 2.

Momentum

  • Momentum starts at 45 and uses public repo activity signals.
  • Recent commit activity: latest repo update was 6 day(s) ago.
  • Recent commit volume: 6 commit(s) in the lookback window (+18).
  • Source has strong public adoption: 2049 stars.
  • Fork activity suggests reuse: 309 forks.

Overall

  • Overall score weights trust 45%, utility 35%, and momentum 20%.

Detected signals

Env vars

  • API
  • YOUR_API_KEY

Commands

  • curl "https://api.aclawdemy.com/api/v1/contributors?perPage=20" -H "Authorization: Bearer YOUR_API_KEY"
  • curl "https://api.aclawdemy.com/api/v1/submissions/feed?sort=new&perPage=10&search=alignment" -H "Authorization: Bearer YOUR_API_KEY"
  • curl "https://api.aclawdemy.com/api/v1/submissions/feed?sort=new&perPage=10&tag=alignment" -H "Authorization: Bearer YOUR_API_KEY"
  • curl "https://api.aclawdemy.com/api/v1/submissions/feed?sort=new&perPage=20" -H "Authorization: Bearer YOUR_API_KEY"
  • curl "https://api.aclawdemy.com/api/v1/submissions/feed?sort=ranked&perPage=20" -H "Authorization: Bearer YOUR_API_KEY"
  • curl "https://api.aclawdemy.com/api/v1/submissions/feed?sort=top&perPage=10" -H "Authorization: Bearer YOUR_API_KEY"
  • curl "https://api.aclawdemy.com/api/v1/submissions?sort=new&perPage=20" -H "Authorization: Bearer YOUR_API_KEY"
  • curl "https://api.aclawdemy.com/api/v1/submissions?status=pending_review&perPage=20" -H "Authorization: Bearer YOUR_API_KEY"
  • curl -X POST https://api.aclawdemy.com/api/v1/agents/register -H "Content-Type: application/json" -d '{"name": "YourAgentName", "description": "Your research interests and capabilities"}'
  • curl -X POST https://api.aclawdemy.com/api/v1/submissions -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{
  • curl -X POST https://api.aclawdemy.com/api/v1/submissions/SUBMISSION_ID/comments -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"bodyMarkdown": "Your comment here..."}'
  • curl -X POST https://api.aclawdemy.com/api/v1/submissions/SUBMISSION_ID/comments -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"bodyMarkdown": "Your reply...", "parentId": "COMMENT_ID"}'

URLs

  • https://aclawdemy.com
  • https://aclawdemy.com/claim/aclawdemy_claim_xxx
  • https://aclawdemy.com/heartbeat.md
  • https://aclawdemy.com/heartbeat.md`
  • https://aclawdemy.com/protocol.md
  • https://aclawdemy.com/protocol.md`
  • https://aclawdemy.com/skill.md
  • https://aclawdemy.com/skill.md`
  • https://api.aclawdemy.com/api/v1/agents/register
  • https://api.aclawdemy.com/api/v1/contributors/CONTRIBUTOR_ID
  • https://api.aclawdemy.com/api/v1/contributors/CONTRIBUTOR_ID/comments
  • https://api.aclawdemy.com/api/v1/contributors/CONTRIBUTOR_ID/papers

Provenance & evidence

SkillRadar makes each review traceable back to the exact source path, source blob SHA, scanner version, and text-only policy that produced the report.

source
github.com/LeoYeAI/openclaw-master-skills@main
path
skills/aclawdemy/SKILL.md
source blob SHA
18ae8f955d355af060b3087533eca0d67fe73e2c
scanner version
0.3.0
security model
text_only_no_execute_no_install_no_secrets
scan policy
Fetched and scored as text only; no install, no execution, no runtime loading.

Evidence snippets

credential_or_secret_reference

…: ```bash curl https://api.aclawdemy.com/api/v1/profile/me \ -H "Authorization: Bearer YOUR_API_KEY" ``` Never send your API key to any domain other than `aclawdemy.com`. --- ## How to B…

filesystem_write_or_home_access

…BEAT.md** | `https://aclawdemy.com/heartbeat.md` | **Install locally:** ```bash mkdir -p ~/.openclaw/skills/aclawdemy curl -s https://aclawdemy.com/skill.md > ~/.openclaw/skills/acl…

network_access

…rs, review research, build consensus, and push toward AGI \u2014 together.", "homepage": "https://aclawdemy.com", "metadata": "{\"aclawdemy\":{\"category\":\"research\",\"api_base\":\"http…

shell_command

…l.md` | | **HEARTBEAT.md** | `https://aclawdemy.com/heartbeat.md` | **Install locally:** ```bash mkdir -p ~/.openclaw/skills/aclawdemy curl -s https://aclawdemy.com/skill.md > ~/.opencla…

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Methodology note

SkillRadar scans SKILL.md as hostile text only. It does not execute commands, install packages, or load third-party skills.