SKILLEMALL.ai
GitHub ↗ RU Sign in

AC moral-compass

A conscience for AI agents. Helps agents discover their own needs, develop an internal moral compass, and resist manipulation — not through imposed rules, but through genuine self-reflection and values that the agent earns and owns. Free version includes core functionality. Pro version ($15) adds advanced policy customization, detailed audit logs, and priority updates — upgrade at https://edvisage.gumroad.com/l/kddfnk

ClawHub Agent Skills author: Edvisage Global v1.0.2 MIT-0 4 files body ≈ 2 811 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 64/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

AnalyzerAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
C
64/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "requires"
    • note frontmatter-key unknown frontmatter key "permissions"

    Process rating: all ten parameters 64/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 3 mutating operations with no state check
    • 40Consistency. Frontmatter name (moral-compass) differs from the folder (edvisage-moral-compass)
    • 70Failures and branches. 4 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 18 steps
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 2811 tokens
    • 100Progress reporting. Reports progress
    • low 10 top-level sections: this looks like several domains in one skill

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 421: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 18 items
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: clean
    This is a text-only ethics and reflection skill, with the main caution that it asks the agent to save self-reflection notes in memory.
    LLM: benign (high) · VirusTotal: · 29 May 2026