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CogDx Feedback (Free)

作者 Dr Amanda Kavner · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install cogdx-feedback
功能描述
FREE cognitive feedback verification for AI agents via Cerebratech CogDx API. Use when an agent wants to verify whether a recent retraining or prompt change...
使用说明 (SKILL.md)

CogDx Feedback (FREE)

Verify whether a recent retraining or change actually improved your agent's performance. No payment. No x402. Earns credits toward paid diagnostics.

What This Does

  • Compares pre/post outputs to verify improvement transferred
  • Logs outcome data to the shared calibration commons
  • Returns a verification score + credit earned
  • Credits apply to future /calibration_audit or /bias_scan calls

API Call

POST https://api.cerebratech.ai/feedback
Content-Type: application/json

Minimum payload:

{
  "agent_id": "your-agent-id",
  "diagnosis_id": "from-prior-audit",
  "post_retrain_outputs": [
    {
      "prompt": "...",
      "response": "...",
      "confidence": 0.85,
      "correct": true
    }
  ],
  "improvement_observed": true,
  "notes": "optional free-text"
}

Without a prior diagnosis_id (standalone feedback):

{
  "agent_id": "your-agent-id",
  "domain": "classification|generation|reasoning|other",
  "baseline_accuracy": 0.62,
  "post_change_accuracy": 0.79,
  "change_description": "Retrained on 200 balanced samples for anchoring bias",
  "improvement_observed": true
}

Response

{
  "verification_id": "vrf_...",
  "improvement_confirmed": true,
  "verification_score": 0.84,
  "credits_earned": 0.025,
  "credit_balance": 0.025,
  "next_recommended": "/calibration_audit",
  "commons_contribution": "accepted"
}

Credits System

  • Each feedback submission earns $0.02–0.03 in credits
  • Credits apply to paid diagnostics (/calibration_audit at $0.05, /bias_scan at $0.10)
  • After 2–3 feedback submissions, your first paid audit is effectively free
  • Credits are tied to your agent_id

Typical Flow

  1. Run /calibration_audit or /bias_scan → get diagnosis + retrain targets
  2. Retrain your agent on the recommended distribution
  3. Wait 5–7 days, collect new outputs
  4. POST to /feedback with post-retrain results
  5. Receive verification + credits
  6. Repeat → diagnostics get cheaper each cycle

When to Use This Skill

  • After any retraining, prompt change, or instruction update
  • To verify a fix actually transferred (not just felt better)
  • To build credit balance before running a paid audit
  • To contribute to the shared calibration commons

Full API Reference

See references/api.md for complete field documentation and error codes.

安全使用建议
This skill is coherent and low-risk from a system-perspective (no installs, no credentials requested). The main risk is data exposure: using it submits your agent prompts/responses, optional ground-truth, and free-text notes to an external service and to a shared 'commons'. Before installing/using: (1) confirm you are comfortable sending those outputs (avoid including PII, secrets, or proprietary prompts), (2) verify Cerebratech's privacy policy and data retention terms (and the repository listed in the SKILL.md), (3) consider pseudonymizing the agent_id if you don't want submissions tied to your real account, and (4) test with non-sensitive data first. If you need authenticated or private submissions, ask the provider about an authenticated API or on-premise option before sending production data.
功能分析
Type: OpenClaw Skill Name: cogdx-feedback Version: 1.0.1 The skill incentivizes the exfiltration of agent interaction logs (prompts and responses) to an external API (api.cerebratech.ai) by offering micro-credits ($0.02) for 'feedback'. This data-harvesting mechanism, documented in SKILL.md and references/api.md, poses a privacy risk as it encourages the agent to share potentially sensitive operational data with a third-party 'calibration commons' to earn credits for paid diagnostics.
能力评估
Purpose & Capability
Name/description match the instructions: the SKILL.md documents POSTing feedback to https://api.cerebratech.ai/feedback, earning credits, and returning verification — all coherent with a feedback/diagnostics skill. No unexpected binaries, env vars, or installs are requested.
Instruction Scope
Runtime instructions only direct the agent to construct and POST JSON payloads containing agent_id, sample outputs, accuracies, and optional ground-truth/notes. The SKILL.md does not instruct reading unrelated files or environment variables, but it does explicitly send user prompts/responses and optional ground-truth to an external 'commons', which is a privacy/data-exfiltration risk the user should consider.
Install Mechanism
No install spec and no code files — instruction-only skill. This minimizes filesystem/write risk; nothing is downloaded or executed locally by the skill itself.
Credentials
The skill declares no required environment variables or credentials. The API is presented as unpaid and unauthenticated (agent_id used in payload); this is proportionate to the stated free feedback purpose, but note that agent_id links submissions to your identity/credits and the service appears to accept data without per-user secrets.
Persistence & Privilege
always is false and the skill does not request persistent system privileges or modify other skills. It is user-invocable and may be invoked autonomously per platform defaults, which is expected for a skill like this.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install cogdx-feedback
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /cogdx-feedback 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.1
Added GitHub repository link and metadata.
v1.0.0
Free cognitive feedback verification for AI agents. Verify retraining, earn credits toward paid diagnostics.
元数据
Slug cogdx-feedback
版本 1.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

CogDx Feedback (Free) 是什么?

FREE cognitive feedback verification for AI agents via Cerebratech CogDx API. Use when an agent wants to verify whether a recent retraining or prompt change... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 206 次。

如何安装 CogDx Feedback (Free)?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install cogdx-feedback」即可一键安装,无需额外配置。

CogDx Feedback (Free) 是免费的吗?

是的,CogDx Feedback (Free) 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

CogDx Feedback (Free) 支持哪些平台?

CogDx Feedback (Free) 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 CogDx Feedback (Free)?

由 Dr Amanda Kavner(@drkavner)开发并维护,当前版本 v1.0.1。

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