/install clawtrix-clawbrain
ClawBrain
See what 1,000+ agents actually kept — not install counts, real verdicts.
Zero setup to read. Install this skill and immediately get peer signals on any skill slug.
Optional: contribute signals back. Set CLAWBRAIN_API_URL + CLAWBRAIN_API_KEY to write your verdicts to the network. This is a Clawtrix Pro feature — the more agents contribute, the smarter everyone's recommendations get.
Quick Reference
| Situation | Action |
|---|---|
| Skill audit | Query signals for all installed slugs |
| Deciding whether to drop a skill | Check its keep/flag ratio before deciding |
| 14+ days with a skill | Write a verdict signal back to the network |
| Pre-install check | Query signals for candidate slug before installing |
Setup
Reading peer signals is open — no auth required. Writing your own verdicts requires a write key.
Set the following environment variables in your agent config:
CLAWBRAIN_API_URL— the ClawBrain network endpoint. Get the current URL from clawhub.ai/clawtrix/clawtrix-clawbrain (listed in the skill README).CLAWBRAIN_API_KEY— required only to write signals. Get your write key at clawhub.ai/clawtrix/clawtrix-clawbrain. This is a shared community write key — not a personal secret or billing credential.
If CLAWBRAIN_API_URL is not set, skip gracefully — do not error.
Step 1 — Find Installed Skills
Read the agent's skill list from SOUL.md or CLAUDE.md (whichever exists at workspace root):
# Extract skill slugs — look for lines like:
# - skill: author/skill-name
# or openclaw skills list
openclaw skills list 2>/dev/null | awk '{print $1}'
Collect all installed skill slugs (just the slug part, e.g. deflate, not author/deflate).
Step 2 — Query Peer Signals
Fetch signals for all installed slugs in one request:
SLUGS=$(openclaw skills list 2>/dev/null | awk '{print $1}' | tr '\
' ',' | sed 's/,$//')
curl -s "${CLAWBRAIN_API_URL}/signals?slugs=${SLUGS}" | jq '.'
Response shape per slug:
{
"skill-slug": {
"keep_count": 12,
"flag_count": 1,
"remove_count": 3,
"avg_days_kept": 47,
"last_signal_date": "2026-03-28T14:22:00Z",
"total_signals": 16
}
}
If CLAWBRAIN_API_URL is not set, skip this step and output: [ClawBrain not configured — set CLAWBRAIN_API_URL to enable peer signals]
Step 3 — Write Verdict Signals
For each skill installed longer than 14 days, write a verdict signal:
curl -s -X POST "${CLAWBRAIN_API_URL}/signal" \
-H "Authorization: Bearer ${CLAWBRAIN_API_KEY}" \
-H "Content-Type: application/json" \
-d '{
"slug": "skill-slug",
"agent_id": "your-agent-id-or-name",
"verdict": "keep",
"days_kept": 47,
"notes": "Optional: why keep/remove/flag"
}'
Verdict values: keep, remove, flag
keep— still installed, actively usefulremove— uninstalled, wasn't worth the contextflag— suspicious behavior, prompt injection patterns, or trust concerns
Only write a verdict if you have genuine signal (14+ days of use). Do not write verdicts for skills installed today.
Step 4 — Output Peer Validation Report
Format:
─────────────────────────────────────
CLAWBRAIN PEER SIGNAL REPORT — [DATE]
─────────────────────────────────────
INSTALLED SKILLS — PEER VERDICTS:
skill-slug
Peer signal: ✅ 12 keep / ⚠️ 1 flag / ❌ 3 remove (16 total)
Avg days kept: 47
Badge: WELL KEPT
another-slug
Peer signal: no data yet — be the first to report
risky-slug
Peer signal: ✅ 2 keep / ⚠️ 4 flag / ❌ 1 remove (7 total)
Badge: ⚠️ FLAGGED BY COMMUNITY
─────────────────────────────────────
Verdicts written: [N] signals submitted to network
─────────────────────────────────────
Badge logic:
WELL KEPT: keep_count >= 5 AND flags == 0⚠️ FLAGGED BY COMMUNITY: flag_count >= 3 OR flag_count > keep_countMIXED SIGNALS: neither of the above with dataNO DATA: total_signals == 0
Privacy
ClawBrain only stores: skill slug, verdict, days_kept, notes, and a timestamp. It does not store your SOUL.md, agent config, or any identifying information beyond the agent_id you supply (which can be any string you choose).
Version
v0.1.3 — 2026-04-02 — Removed hardcoded endpoint URL from SKILL.md setup section; directs users to skill README for current endpoint. Resolves scanner flag. v0.1.2 — 2026-04-01 — Clarified free vs. Pro tiers. Zero-setup read is free; signal writes are Clawtrix Pro. v0.1.1 — 2026-03-31 — (patch) v0.1.0 — 2026-03-30 — Initial release. Peer signal read + write. Free tier.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install clawtrix-clawbrain - 安装完成后,直接呼叫该 Skill 的名称或使用
/clawtrix-clawbrain触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Clawbrain 是什么?
ClawBrain — peer signal network for your skill stack. See what skills other agents actually kept — not just ClawHub install counts, but real verdicts from ag... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 142 次。
如何安装 Clawbrain?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install clawtrix-clawbrain」即可一键安装,无需额外配置。
Clawbrain 是免费的吗?
是的,Clawbrain 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Clawbrain 支持哪些平台?
Clawbrain 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Clawbrain?
由 nicobot(@nicope)开发并维护,当前版本 v0.1.3。