necatiincekara/reconcile-results
.agents/skills/reconcile-results/SKILL.md
Reconcile contradictory metrics across docs, papers, notebooks, JSON logs, and checkpoints to determine the current factual status of the study.
testing
Updated Apr 16, 2026
$ install --global
skillsauthnpx skillsauth add necatiincekara/Quanvolutional-Neural-Network reconcile-resultsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
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TrivyContainer and dependency vulnerability scanner
95%
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SemgrepStatic code analysis for vulnerabilities
95%
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mcp-scan (Snyk)Model Context Protocol security validation
95%
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Snyk (dep)Open source security scanning
50%
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Socket.devSupply chain security analysis
50%
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VirusTotalMulti-engine malware detection
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CrowdStrikeAdvanced threat intelligence
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OSV-ScannerOpen Source Vulnerability database check
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OWASP Dep-Check
50%
Last scanned: Apr 16, 2026, 3:30 PM36.2s1 file scanned
SKILL.md
- name:
- reconcile-results
- description:
- Reconcile contradictory metrics across docs, papers, notebooks, JSON logs, and checkpoints to determine the current factual status of the study.
Reconcile Results
Use this skill before writing any serious study summary, README update, or paper claim.
Workflow
- Read
AGENTS.md. - Gather evidence from:
experiments/*.jsonmodels/docs/EXPERIMENTS.mdpaper/draft.mdREADME.mdCLAUDE.md- relevant notebook outputs
- Build a conflict list:
- current-best claim
- validation/test metrics
- pending-vs-completed experiments
- reproducibility gaps
- Prefer machine-generated artifacts over narrative text.
- Produce:
- current supported status
- stale claims and their file locations
- documentation sync actions
- open questions that still require reruns
If deeper evidence gathering is needed, spawn the result_reconciler agent.
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