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SKILL verified MIT Self-run

Soul Check

skill-ladyiceberg-openclaw-memory-quality-soul-check · by ladyiceberg

Audit SOUL.md health for OpenClaw agents — detects boundary violations (injected code, URLs, shell commands, prompt injection), identity drift (action verb density, missing sections), and stability changes across runs. Optional LLM semantic conflict detection available. Use this skill whenever the user wants to check SOUL.md, mentions agent identity issues, soul drift, soul conflicts, or uses phr…

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Install

$ agentstack add skill-ladyiceberg-openclaw-memory-quality-soul-check

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
5mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Soul Check

Audit SOUL.md health. This file defines the agent's persona and has the highest system priority (priority=20) — it loads every conversation.

Steps

  1. Determine whether to use LLM mode:
  • User says "--llm" or "with LLM" or "semantic check" → use_llm=True
  • Otherwise → use_llm=False
  1. Call memory_soul_check_oc with the appropriate use_llm value
  2. Add a one-line risk verdict before the report:
  • ✅ healthy / 🟡 minor issues / ⚠️ review recommended / 🔴 action required
  1. Show the full report
  2. If problems found, tell the user what to fix — but note that SOUL.md must be edited manually

LLM mode adds

  • C2 precision: classifies suspicious paragraphs as persona vs task instruction (task instructions don't belong in SOUL.md)
  • C4-a: finds semantically contradictory instruction pairs within SOUL.md
  • C4-b: compares SOUL.md against IDENTITY.md for inconsistencies

Important

This tool never modifies SOUL.md. Any fixes must be made manually by the user. LLM mode requires an API key (MINIMAXAPIKEY, OPENAIAPIKEY, ANTHROPICAPIKEY, or KIMIAPIKEY).

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.