Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
Systematic code inspection methodology for finding errors through structured team review. Based on Michael Fagan's formal inspection process (1976). Use for code reviews, design reviews, and quality audits. --- name: fagan-code-review description: Systematic code inspection methodology for finding errors through structured team review. Based on Michael Fagan's formal inspection process (1976). Use for code reviews, design reviews, and quality audits. license: Apache-2.0 version: 1.0.0 tags: [code-review, quality-assurance, inspection, methodology, error-detection] --- Fagan Code Review A systematic code inspection metho Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Freshness
Last checked 4/15/2026
Best For
fagan-code-review is best for general automation workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
Systematic code inspection methodology for finding errors through structured team review. Based on Michael Fagan's formal inspection process (1976). Use for code reviews, design reviews, and quality audits. --- name: fagan-code-review description: Systematic code inspection methodology for finding errors through structured team review. Based on Michael Fagan's formal inspection process (1976). Use for code reviews, design reviews, and quality audits. license: Apache-2.0 version: 1.0.0 tags: [code-review, quality-assurance, inspection, methodology, error-detection] --- Fagan Code Review A systematic code inspection metho
Public facts
4
Change events
1
Artifacts
0
Freshness
Apr 15, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 15, 2026
Vendor
Nikolasrieble
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Setup snapshot
git clone https://github.com/nikolasrieble/fagan-inspection-skill.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Nikolasrieble
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
3
Snippets
0
Languages
typescript
Parameters
text
"Conduct a Fagan inspection on src/auth/login.js"
text
✅ DO: - Focus solely on finding errors - Let the reader paraphrase the logic - Cover every line and every branch - Note error type and severity immediately - Pursue questions only until error is identified - Keep moving to cover all material ❌ DON'T: - Discuss how to fix errors - Debate design alternatives - Go down solution rabbit holes - Let meetings exceed 2 hours (efficiency drops) - Skip "obvious" or "simple" sections - Use inspection results for performance reviews
bash
# Interactive mode (prompts for all data) python3 scripts/inspection_report.py --interactive # Generate from JSON file python3 scripts/inspection_report.py --from-file inspection_data.json # Generate specific report type python3 scripts/inspection_report.py --from-file data.json --report-type summary # All reports to custom directory python3 scripts/inspection_report.py --from-file data.json --output-dir ./reports
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Systematic code inspection methodology for finding errors through structured team review. Based on Michael Fagan's formal inspection process (1976). Use for code reviews, design reviews, and quality audits. --- name: fagan-code-review description: Systematic code inspection methodology for finding errors through structured team review. Based on Michael Fagan's formal inspection process (1976). Use for code reviews, design reviews, and quality audits. license: Apache-2.0 version: 1.0.0 tags: [code-review, quality-assurance, inspection, methodology, error-detection] --- Fagan Code Review A systematic code inspection metho
A systematic code inspection methodology based on Michael Fagan's formal inspection process (1976). This skill teaches structured error detection through team-based review with separated objectives, defined roles, and measurable outcomes.
For AI-assisted inspection:
"Conduct a Fagan inspection on src/auth/login.js"
For detailed usage instructions: See HOW-TO-USE.md for step-by-step guides and examples.
For human teams: Follow the 5-phase process below with your inspection team.
Separation of Objectives: Never mix error finding with error fixing, or education with inspection.
Systematic Coverage: All code inspected, all branches examined, all logic verified.
Role-Based Process: Moderator, designer, implementor, and tester each have specific responsibilities.
Measurable Outcomes: Track errors by type, severity, and density for continuous improvement.
Early Detection: Find errors as close to origin as possible (10-100× cost savings).
references/checklists.md)references/checklists.md)✅ DO:
- Focus solely on finding errors
- Let the reader paraphrase the logic
- Cover every line and every branch
- Note error type and severity immediately
- Pursue questions only until error is identified
- Keep moving to cover all material
❌ DON'T:
- Discuss how to fix errors
- Debate design alternatives
- Go down solution rabbit holes
- Let meetings exceed 2 hours (efficiency drops)
- Skip "obvious" or "simple" sections
- Use inspection results for performance reviews
Load references/roles-responsibilities.md for complete details.
Quick summary:
Team Size: 4 people optimal
Classify each error by three dimensions:
Type: LO (Logic), IC (Interconnection), TB (Test/Branch), DE (Design Error), etc. Category: M (Missing), W (Wrong), E (Extra) Severity: Major (causes malfunction) or Minor (lesser impact)
Example: LO/M/MAJ = Logic error, Missing, Major severity
Load references/error-classification.md for complete taxonomy.
Use the inspection report tool to track metrics over time. Aggregate data manually or via custom tooling.
I₁ - Design Inspection: Review design before coding
I₂ - Code Inspection: Review implementation
Modified Code Inspection: Review changes/fixes
Load references/checklists.md when conducting inspections.
The checklists provide systematic prompts for finding common error types:
Load references/inspection-phases.md for complete phase documentation.
Key insights:
| Aspect | Fagan Inspection | Walkthrough | |--------|-----------------|-------------| | Moderator training | Required | No | | Defined roles | Yes | No | | Who drives | Moderator | Code author | | Checklists | Yes | No | | Formal follow-up | Yes | No | | Metrics tracked | Yes | No | | Process improvement | Yes | No |
Run scripts/inspection_report.py --help for report generation.
The script generates four types of formal reports:
Error List (error-list) - Detailed list of all errors found
Module Detail (module-detail) - Statistical analysis
Inspection Summary (summary) - Executive overview
JSON Data (json) - Machine-readable export
# Interactive mode (prompts for all data)
python3 scripts/inspection_report.py --interactive
# Generate from JSON file
python3 scripts/inspection_report.py --from-file inspection_data.json
# Generate specific report type
python3 scripts/inspection_report.py --from-file data.json --report-type summary
# All reports to custom directory
python3 scripts/inspection_report.py --from-file data.json --output-dir ./reports
Reports must be completed within 24 hours of inspection meeting.
Load these on-demand during inspections:
Based on: Fagan, M.E. (1976). "Design and Code Inspections to Reduce Errors in Program Development." IBM Systems Journal, 15(3), 182-211.
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/nikolasrieble-fagan-inspection-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/nikolasrieble-fagan-inspection-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/nikolasrieble-fagan-inspection-skill/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/nikolasrieble-fagan-inspection-skill/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/nikolasrieble-fagan-inspection-skill/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/nikolasrieble-fagan-inspection-skill/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/nikolasrieble-fagan-inspection-skill/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/nikolasrieble-fagan-inspection-skill/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/nikolasrieble-fagan-inspection-skill/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T03:41:17.556Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Nikolasrieble",
"href": "https://github.com/nikolasrieble/fagan-inspection-skill",
"sourceUrl": "https://github.com/nikolasrieble/fagan-inspection-skill",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T03:16:38.519Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/nikolasrieble-fagan-inspection-skill/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/nikolasrieble-fagan-inspection-skill/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T03:16:38.519Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/nikolasrieble-fagan-inspection-skill/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/nikolasrieble-fagan-inspection-skill/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
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