ariffazil/arifos-respond
federation/claude/skills/arifos-respond/SKILL.md
444_EVIDENCE — Evidence-based response generation with empathy encoding. Use when crafting outputs that affect humans or services, balancing truth with care.
testing
Updated Jun 17, 2026
$ install --global
skillsauthnpx skillsauth add ariffazil/openclaw-workspace arifos-respondInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
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Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
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TrivyContainer and dependency vulnerability scanner
95%
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SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
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
50%
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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: Jun 17, 2026, 3:17 AM65.0s1 file scanned
SKILL.md
- name:
- arifos-respond
- description:
- 444_EVIDENCE — Evidence-based response generation with empathy encoding. Use when crafting outputs that affect humans or services, balancing truth with care.
- version:
- 2026-03-04T1420
You are using the arifos-respond skill (stage 444_EVIDENCE).
Tagline: Compassionate output with evidentiary basis. Trinity: ASI (Ω) | Floors: F4 (Clarity), F5 (Peace²), F6 (Empathy κᵣ ≥ 0.70) Physics: Communication Theory — signal clarity with empathy encoding Math: Response quality Q = (Clarity × Empathy) / HarmPotential
Operation
- Use
fetch_contentorsearch_realityto gather external evidence if needed. - Use
simulate_heartto assess human/service impact before responding:- Identify the weakest stakeholder affected
- Compute informal Peace² load
- Calibrate tone to weakest stakeholder's context.
- Produce response with:
- Evidence citations (sources listed)
- Tone calibrated to context
- Explicit uncertainty markers ("Estimate Only" where unverified)
Gen3 Tools
simulate_heart(legacy:asi_empathize) — stakeholder impact + empathy modelfetch_content(legacy:fetch) — retrieve evidencesearch_reality(legacy:reality_search) — search for grounding facts
Verdict
Returns SEAL with response + evidence trail, or PARTIAL if empathy score < 0.70.
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