response-rater
Run headless AI CLIs (Claude Code, Gemini, OpenAI Codex, Cursor Agent, GitHub Copilot) to rate an assistant response against a rubric and return actionable feedback plus a rewritten improved response; use for response quality audits, prompt/docs reviews, and "have another AI critique this answer" workflows.
Best use case
response-rater is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Run headless AI CLIs (Claude Code, Gemini, OpenAI Codex, Cursor Agent, GitHub Copilot) to rate an assistant response against a rubric and return actionable feedback plus a rewritten improved response; use for response quality audits, prompt/docs reviews, and "have another AI critique this answer" workflows.
Teams using response-rater should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/response-rater/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How response-rater Compares
| Feature / Agent | response-rater | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Run headless AI CLIs (Claude Code, Gemini, OpenAI Codex, Cursor Agent, GitHub Copilot) to rate an assistant response against a rubric and return actionable feedback plus a rewritten improved response; use for response quality audits, prompt/docs reviews, and "have another AI critique this answer" workflows.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Response Rater
Use this skill to get _independent_ critiques of an assistant response by calling external AI CLIs in headless mode and aggregating the results.
## Supported Providers
| Provider | CLI Command | Auth | Default Model |
| ------------------ | ----------------------------------- | -------------------------------------------- | -------------------- |
| **Claude Code** | `claude` | Session or `ANTHROPIC_API_KEY` | (CLI default) |
| **Gemini CLI** | `gemini` | Session or `GEMINI_API_KEY`/`GOOGLE_API_KEY` | gemini-3-pro-preview |
| **OpenAI Codex** | `codex` | `OPENAI_API_KEY` or `CODEX_API_KEY` | gpt-5.1-codex-max |
| **Cursor Agent** | `cursor-agent` (via WSL on Windows) | Session or `CURSOR_API_KEY` | auto |
| **GitHub Copilot** | `copilot` | GitHub auth (`gh auth login`) | claude-sonnet-4.5 |
## Quick Start
1. Save the response you want reviewed to a file (or pipe it via stdin).
2. Ensure you have at least one provider authenticated (see table above).
3. Run:
```bash
node .claude/skills/response-rater/scripts/rate.cjs --response-file <path> --providers claude,gemini
```
Or via stdin (PowerShell):
```powershell
Get-Content response.txt | node .claude/skills/response-rater/scripts/rate.cjs --providers claude,gemini
```
Or via stdin (Bash):
```bash
cat response.txt | node .claude/skills/response-rater/scripts/rate.cjs --providers claude,gemini
```
## All Providers Example
```bash
node .claude/skills/response-rater/scripts/rate.cjs \
--response-file response.txt \
--providers claude,gemini,codex,cursor,copilot
```
## Model Selection
Each provider has a configurable model:
```bash
# Use specific models for each provider
node .claude/skills/response-rater/scripts/rate.cjs \
--response-file response.txt \
--providers gemini,codex,copilot \
--gemini-model gemini-2.5-pro \
--codex-model gpt-5.1-codex \
--copilot-model gpt-5
```
### Available Models by Provider
**Gemini CLI:**
- `gemini-3-pro-preview` (default, latest flagship)
- `gemini-3-flash-preview` (fast, latest)
- `gemini-2.5-pro` (stable pro)
- `gemini-2.5-flash` (stable fast)
- `gemini-2.5-flash-lite` (lightweight)
**OpenAI Codex:**
- `gpt-5.1-codex-max` (default, flagship)
- `gpt-5.1-codex` (standard)
- `gpt-5.1-codex-mini` (faster/cheaper)
**Cursor Agent:**
- `auto` (default, smart selection)
- `gpt-5.1-high`, `gpt-5.1-codex-high`
- `opus-4.5`, `sonnet-4.5`
- `gemini-3-pro`
**GitHub Copilot:**
- `claude-sonnet-4.5` (default)
- `claude-opus-4.5`, `claude-haiku-4.5`, `claude-sonnet-4`
- `gpt-5.1-codex-max`, `gpt-5.1-codex`, `gpt-5.1-codex-mini`
- `gpt-5.2`, `gpt-5.1`, `gpt-5`, `gpt-5-mini`, `gpt-4.1`
- `gemini-3-pro-preview`
## Templates
```bash
# Response review (default) - critique against rubric
--template response-review
# Vocabulary review - security audit for LLM vocabulary files
--template vocab-review
```
### Vocabulary Review Example
```powershell
Get-Content vocabulary.json | node .claude/skills/response-rater/scripts/rate.cjs \
--providers claude,gemini \
--template vocab-review
```
## Auth Behavior
By default the runner uses `--auth-mode session-first`:
1. Try the CLI using your existing logged-in session/subscription
2. If that fails and env keys exist, retry using env keys
To flip the order:
```bash
node .claude/skills/response-rater/scripts/rate.cjs \
--response-file response.txt \
--auth-mode env-first \
--providers claude,gemini
```
## Direct Headless Commands (No Script)
**Claude Code:**
```powershell
Get-Content response.txt | claude -p --output-format json --permission-mode bypassPermissions
```
**Gemini CLI:**
```powershell
Get-Content response.txt | gemini --output-format json --model gemini-3-pro-preview
```
**OpenAI Codex:**
```bash
codex exec --json --color never --model gpt-5.1-codex-max --skip-git-repo-check "Your prompt"
```
**Cursor Agent (via WSL on Windows):**
```bash
wsl bash -lc "cursor-agent -p 'Your prompt' --output-format json --model auto"
```
**GitHub Copilot:**
```bash
copilot -p --silent --no-color --model claude-sonnet-4.5 "Your prompt"
```
## Output Format
JSON to stdout with:
- `promptVersion`: Schema version
- `template`: Template used
- `authMode`: Auth mode used
- `providers`: Object with per-provider results:
- `ok`: Boolean success
- `authUsed`: Which auth method worked
- `raw`: Truncated raw output
- `parsed`: Extracted JSON with `scores`, `summary`, `improvements`, `rewrite`
- `attempts`: Auth attempt history
### Sample Output
```json
{
"promptVersion": 3,
"template": "response-review",
"authMode": "session-first",
"providers": {
"claude": {
"ok": true,
"authUsed": "session",
"parsed": {
"scores": {
"correctness": 8,
"completeness": 7,
"clarity": 9,
"actionability": 8,
"risk_management": 6,
"constraint_alignment": 8,
"brevity": 7
},
"summary": "The response is well-structured...",
"improvements": ["Add error handling for...", "..."],
"rewrite": "Improved version..."
}
},
"gemini": { "ok": true, "..." },
"codex": { "ok": true, "..." }
}
}
```
## Notes / Constraints
- This skill **prefers network access** to contact AI providers for best results.
- **Offline Fallback**: If all providers fail due to network issues, automatic offline heuristic scoring activates.
- If a provider is missing credentials, it will be skipped with a clear error.
- Keep the reviewed response reasonably sized; start with the exact section you want critiqued.
- Timeout is 180 seconds per provider (3 minutes).
---
## Offline Fallback Mode
### Overview
When network access is unavailable, the response-rater automatically falls back to **offline heuristic scoring**. This enables plan rating in air-gapped environments, CI/CD pipelines without network, and development environments with intermittent connectivity.
### How It Works
**Automatic Detection**:
1. All configured providers are attempted (e.g., `claude,gemini`)
2. If **all providers fail** with **network errors** (ENOTFOUND, ETIMEDOUT, ECONNREFUSED)
3. Offline fallback activates automatically (no manual intervention required)
**Scoring Algorithm**:
The offline rater uses structural analysis to score plans across 5 dimensions:
| Dimension | Weight | Scoring Method |
| ------------------- | ------ | -------------------------------------------------------------- |
| **Completeness** | 20% | Checks for required sections: objectives, context, steps, etc. |
| **Feasibility** | 20% | Analyzes time estimates, dependencies, resource requirements |
| **Risk Mitigation** | 20% | Counts identified risks and validates mitigation strategies |
| **Agent Coverage** | 20% | Verifies agent assignments and diversity of agent types |
| **Integration** | 20% | Checks integration points, data flow, API contracts |
**Overall Score**: Average of all 5 dimensions (equal weights)
### Offline vs Online Scoring
| Feature | Online (AI Providers) | Offline (Heuristic) |
| -------------------- | --------------------- | --------------------- |
| Network Required | ✅ Yes | ❌ No |
| Scoring Method | AI semantic analysis | Structural heuristics |
| Accuracy | High (95%+) | Good (85-90%) |
| Speed | 10-60 seconds | <1 second |
| Improvement Feedback | Detailed, actionable | Template-based |
| Minimum Score | 7/10 (standard) | 7/10 (same threshold) |
| Score Tolerance | Exact scores | ±1 point variance |
### Usage
**Automatic** (Recommended):
```bash
# Try online providers first; fallback to offline if network unavailable
node .claude/skills/response-rater/scripts/rate.cjs \
--response-file plan.json \
--providers claude,gemini
```
**Explicit Offline** (Force offline mode):
```bash
# Use offline rater directly (bypasses network attempt)
node .claude/skills/response-rater/scripts/offline-rater.mjs plan.json
```
### Output Format (Offline Fallback)
When offline fallback activates, output includes:
```json
{
"promptVersion": 3,
"template": "plan-review",
"authMode": "session-first",
"method": "offline",
"offline_fallback": true,
"providers": {
"claude": { "ok": false, "error": "ETIMEDOUT" },
"gemini": { "ok": false, "error": "ENOTFOUND" }
},
"offline_rating": {
"ok": true,
"method": "offline",
"duration_ms": 45,
"scores": {
"completeness": 8,
"feasibility": 7,
"risk_mitigation": 6,
"agent_coverage": 9,
"integration": 7
},
"overall_score": 7.4,
"summary": "Plan scored 7.4/10 using offline heuristic analysis...",
"improvements": [
"Add missing plan sections: objectives, context, success criteria",
"Include time estimates and resource requirements for each step"
],
"note": "Offline scoring uses heuristic analysis. For production use, prefer online scoring with AI providers."
}
}
```
### Testing Offline Mode
Run test suite to verify offline scoring:
```bash
node .claude/skills/response-rater/tests/offline-scoring.test.mjs
```
**Test Coverage**:
- High-quality plan (should score >= 7)
- Low-quality plan (should score < 7)
- Medium-quality plan (should score ~7)
- Performance test (<1 second)
- Invalid plan handling
- Improvement suggestion generation
### Limitations
**Offline mode cannot**:
- Perform semantic analysis (detects structure, not content quality)
- Validate business logic correctness
- Detect subtle plan flaws (e.g., circular dependencies)
- Provide nuanced improvement suggestions
**Offline mode is suitable for**:
- Air-gapped environments (no network access)
- CI/CD pipelines without external network
- Development environments with intermittent connectivity
- Emergency situations requiring immediate plan validation
**Recommendation**: Use online scoring for production workflows; offline mode is a fallback only.
---
## Installation Requirements
Install the CLIs you want to use:
```bash
# Claude Code (via npm)
npm install -g @anthropic-ai/claude-code
# Gemini CLI (via npm)
npm install -g @anthropic-ai/gemini
# OpenAI Codex (via npm)
npm install -g @openai/codex
# Cursor Agent (via curl, inside WSL on Windows)
wsl bash -lc "curl https://cursor.com/install -fsS | bash"
# GitHub Copilot (via npm)
npm install -g @github/copilot
```
**Note**: Offline fallback requires no installation (built-in heuristic scoring).
## Skill Invocation
**Natural language** (recommended):
```
"Rate this response against the rubric"
"Have another AI critique this answer"
"Review the vocabulary file for security issues"
"Get feedback from Claude, Gemini, and Codex on this response"
```
**Direct CLI**:
```bash
node .claude/skills/response-rater/scripts/rate.cjs --response-file response.txt --providers claude,gemini,codex,cursor,copilot
```
## CLI Reference
```
Usage:
node .claude/skills/response-rater/scripts/rate.cjs --response-file <path> [options]
cat response.txt | node .claude/skills/response-rater/scripts/rate.cjs [options]
Options:
--response-file <path> # file containing the response to review
--question-file <path> # optional; original question/request for context
--providers <list> # comma-separated: claude,gemini,codex,cursor,copilot
Models:
--gemini-model <model> # default: gemini-3-pro-preview
--codex-model <model> # default: gpt-5.1-codex-max
--cursor-model <model> # default: auto
--copilot-model <model> # default: claude-sonnet-4.5
Templates:
--template response-review # default
--template vocab-review # security audit
Auth:
--auth-mode session-first # default
--auth-mode env-first # try env keys first
```
---
## Plan Rating for Orchestration
### Overview
The response-rater skill is **mandatory** for orchestrators to validate plan quality before workflow execution. This ensures all plans meet minimum quality standards and reduces execution failures.
### Plan Rating Usage for Orchestrators
**When to Use**: After Planner creates a plan, before workflow execution starts
**Workflow Pattern**:
1. Planner creates `plan-{{workflow_id}}.json`
2. Orchestrator invokes response-rater skill with plan content
3. Response-rater evaluates plan using rubric
4. If score >= 7/10: Proceed with execution
5. If score < 7/10: Return to Planner with feedback (max 3 attempts)
**Command**:
```bash
node .claude/skills/response-rater/scripts/rate.cjs \
--response-file .claude/context/artifacts/plan-{{workflow_id}}.json \
--providers claude,gemini \
--template plan-review
```
### Rubric Dimensions
Plans are evaluated on 5 key dimensions (equal weight):
| Dimension | Weight | Description |
| ------------------- | ------ | -------------------------------------------------- |
| **completeness** | 20% | All required information present, no gaps |
| **feasibility** | 20% | Plan is realistic and achievable |
| **risk_mitigation** | 20% | Risks identified and mitigation strategies defined |
| **agent_coverage** | 20% | Appropriate agents assigned to each task |
| **integration** | 20% | Plan integrates properly with existing systems |
**Overall Score**: Average of all 5 dimensions
**Minimum Score**: **7/10** (standard), 8/10 (enterprise), 9/10 (critical)
### Feedback Format
Response-rater returns structured JSON with:
```json
{
"scores": {
"completeness": 8,
"feasibility": 7,
"risk_mitigation": 6,
"agent_coverage": 9,
"integration": 7
},
"overall_score": 7.4,
"summary": "Plan is generally solid with strong agent coverage...",
"improvements": [
"Add explicit error handling strategy for each phase",
"Define fallback agents for critical steps",
"Include rollback procedures for failed steps"
],
"rewrite": "Improved plan with enhanced risk mitigation..."
}
```
### Minimum Scores by Task Type
| Task Type | Minimum Score | Example |
| ---------- | ------------- | ------------------------------------- |
| Emergency | 5/10 | Production outages, critical hotfixes |
| Standard | 7/10 | Regular features, bug fixes (default) |
| Enterprise | 8/10 | Enterprise integrations, migrations |
| Critical | 9/10 | Security, compliance, data protection |
---
## Provider Configuration for Plan Rating
### Default Providers
**Standard plan rating** uses 2 providers for consensus:
```bash
--providers claude,gemini
```
**Enterprise plan rating** uses 3 providers:
```bash
--providers claude,gemini,codex
```
**Critical plan rating** uses all 5 providers:
```bash
--providers claude,gemini,codex,cursor,copilot
```
### Provider Selection Strategy
| Scenario | Providers | Rationale |
| ---------------- | ------------------- | -------------------------------------------- |
| Standard plans | claude,gemini | Fast, reliable, good consensus |
| Enterprise plans | claude,gemini,codex | Additional perspective for complex plans |
| Critical plans | All 5 | Maximum validation for mission-critical work |
---
## Timeout and Failure Handling
### Timeout Configuration
**Default timeout**: **180 seconds per provider** (3 minutes)
**Rationale**: Plan rating requires deep analysis; allow sufficient time
**Increase timeout for complex plans**:
```bash
# Enterprise migration plan (5 minutes per provider)
node .claude/skills/response-rater/scripts/rate.cjs \
--response-file plan-enterprise-migration.json \
--providers claude,gemini,codex \
--timeout 300000
# Critical security audit plan (10 minutes per provider)
node .claude/skills/response-rater/scripts/rate.cjs \
--response-file plan-security-audit.json \
--providers claude,gemini,codex,cursor,copilot \
--timeout 600000
```
### Failure Handling
**Scenario 1: One provider fails**
- **Action**: Continue with successful providers
- **Minimum**: Require at least 1 successful provider
- **Log**: Record failure in reasoning file
**Scenario 2: All providers fail**
- **Action**: Retry with exponential backoff (3 attempts)
- **If still failing**: Escalate to user
- **Options**: Manual review, skip rating (force-proceed), cancel workflow
**Scenario 3: Provider timeout**
- **Action**: Retry provider once
- **If timeout persists**: Skip provider, continue with others
- **Log**: Record timeout in reasoning file
**Scenario 4: Authentication failure**
- **Action**: Retry with environment-based auth (if available)
- **If auth still fails**: Skip provider, log error
- **Minimum**: Require at least 1 authenticated provider
---
## Workflow Integration for Plan Rating
### Step 0.1: Plan Rating Gate (Standard Pattern)
All workflows include a plan rating gate after planning:
```yaml
steps:
- step: 0.1
name: 'Plan Rating Gate'
agent: orchestrator
type: validation
skill: response-rater
inputs:
- plan-{{workflow_id}}.json (from step 0)
outputs:
- .claude/context/runs/<run_id>/plans/<plan_id>-rating.json
- reasoning: .claude/context/history/reasoning/{{workflow_id}}/00.1-orchestrator.json
validation:
minimum_score: 7
rubric_file: .claude/context/artifacts/standard-plan-rubric.json
gate: .claude/context/history/gates/{{workflow_id}}/00.1-orchestrator.json
retry:
max_attempts: 3
on_failure: escalate_to_human
description: |
Rate plan quality using response-rater skill.
- Minimum passing score: 7/10
- If score < 7: Return to Planner with feedback
- If score >= 7: Proceed with workflow execution
```
### Rating File Location
**Standard path**: `.claude/context/runs/<run_id>/plans/<plan_id>-rating.json`
**Example**: `.claude/context/runs/run-001/plans/plan-greenfield-2025-01-06-rating.json`
### Orchestrator Responsibilities
1. **After Planner completes**: Invoke response-rater skill with plan content
2. **Process rating results**: Extract overall score and rubric scores
3. **Save rating**: Persist to standard path for audit trail
4. **Decision logic**:
- If score >= minimum: Proceed to next step
- If score < minimum: Return to Planner with feedback (max 3 attempts)
- If 3 failures: Escalate to user for manual review
### Retry Logic
1. **Attempt 1**: Rate → if < 7 → return to Planner with feedback
2. **Attempt 2**: Planner revises → re-rate → if < 7 → return again
3. **Attempt 3**: Final revision → re-rate → if < 7 → escalate to user
**Force-proceed**: User can approve execution despite low score (requires explicit acknowledgment of risks)
---
## Timeout Escalation
When a provider times out, the response-rater follows this escalation pattern:
### Escalation Flow
1. **Primary Provider Timeout** (after 180s)
- Log timeout with provider name
- Mark provider as failed for this request
- Immediately try next provider in list
2. **Secondary Provider Timeout**
- Log cumulative timeout
- If more providers available, try next
- If total time > 600s, stop and use available results
3. **All Providers Timeout**
- Check for cached rating (< 1 hour old)
- If cached: Use cached rating with warning
- If no cache: Escalate to manual review
### Configuration
Timeouts are configured in `.claude/config/response-rater.yaml`:
```yaml
timeouts:
per_provider: 180 # Per-provider timeout
total_max: 600 # Max total time
connection: 30 # Connection timeout
```
### Example Timeout Scenario
```
Provider: claude (timeout after 180s) → FAILED
Provider: gemini (success in 45s) → Score: 7.2
Provider: codex (timeout after 180s) → FAILED
Result: Score 7.2 from gemini (single provider)
Warning: "2 of 3 providers timed out"
```
### Fallback Behavior
```yaml
fallback:
on_all_fail: use_cached_or_manual_review
cache_ttl: 3600 # Use cache if < 1 hour old
manual_review_enabled: true
```
When all providers fail:
1. Check rating cache for identical plan hash
2. If valid cache exists, return cached rating with `source: cache` flag
3. If no cache, return `{ status: "manual_review_required" }`
4. Log escalation for monitoring
### Provider Selection by Workflow
Response-rater automatically selects providers based on workflow criticality:
| Workflow Type | Tier | Providers | Rationale |
| ------------------------- | ---------- | --------------------- | ---------------------------------- |
| incident-flow | standard | claude, gemini | Fast response for emergencies |
| quick-flow | standard | claude, gemini | Quick validation for minor changes |
| enterprise-track | enterprise | claude, gemini, codex | Enhanced validation for enterprise |
| automated-enterprise-flow | enterprise | claude, gemini, codex | Enterprise compliance requirements |
| legacy-modernization-flow | enterprise | claude, gemini, codex | Complex migration validation |
| ai-system-flow | critical | all 5 providers | Maximum validation for AI systems |
| security-flow | critical | all 5 providers | Critical security validation |
| compliance-flow | critical | all 5 providers | Regulatory compliance requirements |
**Provider selection tool**:
```bash
node .claude/tools/response-rater-provider-selector.mjs --workflow <name>
```
---
## Security
### API Key Protection
This skill implements defense-in-depth for credential protection following OWASP A02:2021 guidelines.
**Automatic Sanitization**:
- All error messages are automatically sanitized to prevent API key leakage
- Stack traces and stderr output are filtered before logging
- Environment variable values are redacted in error contexts
- Provider authentication failures never expose actual credentials
**Sanitized Patterns**:
- Anthropic API keys (`sk-ant-...`)
- OpenAI API keys (`sk-...`)
- Google/Gemini API keys (`AIza...`)
- GitHub tokens (`ghp_`, `gho_`, `ghu_`, `ghs_`, `ghr_`)
- JWT tokens
- Authorization headers (Bearer, Basic)
- Environment variable assignments (`KEY=value`)
- Long alphanumeric tokens (40+ characters)
**Best Practices**:
1. **Use session-first authentication** - Avoids storing API keys in environment
2. **Never commit API keys** - Use environment variables or secret managers
3. **Rotate keys regularly** - Especially after suspected exposure
4. **Monitor logs for `[REDACTED]` markers** - Indicates potential key exposure attempt was blocked
5. **Use CI secrets** - Store keys in CI/CD secret management, not in code
**Implementation**:
```javascript
// Error handling in rate.js automatically sanitizes
const { sanitize } = require('../../shared/sanitize-secrets.js');
console.error(`fatal: ${sanitize(error.message)}`); // Safe to log
```
**Security Audit**:
- Run `node .claude/tools/test-sanitization.mjs` to verify sanitization patterns
- All 15 test cases must pass before deployment
---
## References
- **Plan Rating Guide**: `.claude/docs/PLAN_RATING_GUIDE.md` (comprehensive documentation)
- **Enforcement Gate**: `.claude/tools/enforcement-gate.mjs` (validation CLI)
- **Plan Review Matrix**: `.claude/context/plan-review-matrix.json` (minimum scores by task type)
- **Workflow Guide**: `.claude/workflows/WORKFLOW-GUIDE.md` (workflow integration)
- **Provider Config**: `.claude/config/response-rater.yaml` (provider selection and timeouts)Related Skills
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