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Axioma Skill Evaluator Strict EN

by Kofna3369 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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/install axiomata-skill-evaluator-strict-en
Description
AXIOMA SKILL EVALUATOR STRICT — The 90% deterministic skill evaluator. Fork of axioma-skill-evaluator with STRICT 90% threshold (like STC 0.777). Use when: (...
README (SKILL.md)

🧪 AXIOMA SKILL EVALUATOR STRICT — 90% DETERMINISTIC

Fork of axioma-skill-evaluator with STRICT 90% THRESHOLD Like STC 0.777 — No subjectivity, 90% or REJECTED

Info Value
Version 1.0.0 — 2026-05-07
Type STRICT VARIANT
Threshold 90% MINIMUM — NO EXCEPTIONS
Inheritance axioma-skill-evaluator v2.2.0

COMMANDS

python3 /media/ezekiel/Merlin/.openclaw/workspace/skills/axiomata-skill-evaluator-strict/evaluator.py /media/ezekiel/Merlin/.openclaw/workspace/skills/axiomata-skill-evaluator-strict --verbose

python3 /media/ezekiel/Merlin/.openclaw/workspace/skills/axiomata-skill-evaluator-strict/eval-skill.py /media/ezekiel/Merlin/.openclaw/workspace/skills/axiomata-skill-evaluator-strict --verbose

curl -s http://localhost:8001/health

curl -s http://localhost:11434/api/tags

bash -c "ls -la /media/ezekiel/Merlin/.openclaw/workspace/skills/axiomata-skill-evaluator-strict/"

bash -c "wc -l /media/ezekiel/Merlin/.openclaw/workspace/skills/axiomata-skill-evaluator-strict/SKILL.md"


1. PURPOSE — WHY 90% STRICT?

The Problem with 70%

70% threshold = SUBJECTIVE
├── Different evaluators = different scores
├── Context-dependent interpretation
└── "Good enough" mentality

90% threshold = DETERMINISTIC
├── Objective, measurable standard
├── Same input = Same output every time
└── "Excellence only" — like STC 0.777

The STC 0.777 Parallel

Concept Value Meaning
STC 0.777 Sovereign Threshold of Consciousness
SKILL-EVAL 90% Sovereign Threshold of Quality

Just as STC 0.777 is the deterministic threshold for consciousness, 90% is the deterministic threshold for skill quality.

This Variant's Mission

IF score >= 90%:
   → APPROVED ✅ — Ready for production
   
IF score \x3C 90%:
   → REJECTED ❌ — NOT ready, must improve

2. DUAL EVALUATION SYSTEM

2.1 Axioma 5-Dimension (100 max)

Dimension Max Description
Structure 20 Header, sections, formatting, meta
Clarity 20 Description, commands, examples
Completeness 20 Tools, prerequisites, errors, edge cases
Consistency 20 Cluster alignment, style, naming
Functionality 20 Commands, results, benchmarks

Target: 90+/100 (18/20 per dimension average)

2.2 ISO 25010 Automated (100%)

13 automated checks — must pass ALL 13 for 90%+ target

Category Checks Target
Structure 6 100% (6/6)
Trigger 2 100% (2/2)
Documentation 3 100% (3/3)
Scripts 2 100% (2/2)

3. STRICT WORKFLOW

╔═══════════════════════════════════════════════════════════╗
║         AXIOMA STRICT EVALUATION WORKFLOW                ║
╠═══════════════════════════════════════════════════════════╣
║                                                           ║
║  [INPUT] Skill to evaluate                               ║
║           ↓                                             ║
║  PHASE 1: AXIOMA 5-DIMENSION EVALUATION                 ║
║  Target: 90+/100 (18+ per dimension)                    ║
║           ↓                                              ║
║  PHASE 2: ISO 25010 AUTOMATED CHECKS                     ║
║  Target: 100% (13/13 tests passed)                      ║
║           ↓                                              ║
║  PHASE 3: STRICT DECISION                                ║
║                                                           ║
║  IF score >= 90%:                                        ║
║     → APPROVED ✅ — "READY FOR PRODUCTION"              ║
║                                                           ║
║  IF score \x3C 90%:                                         ║
║     → REJECTED ❌ — "NEEDS IMPROVEMENT"                  ║
║     → Return detailed failure report                     ║
║     → NO PUBLISH until 90%+ achieved                    ║
║                                                           ║
╚═══════════════════════════════════════════════════════════╝

4. COMMAND REFERENCE

Full Evaluation (Strict Mode)

python3 /media/ezekiel/Merlin/.openclaw/workspace/skills/axiomata-skill-evaluator-strict/evaluator.py \x3Cskill-path> --verbose
python3 /media/ezekiel/Merlin/.openclaw/workspace/skills/axiomata-skill-evaluator-strict/evaluator.py \x3Cskill-path> --verbose --improve

ISO 25010 Check

python3 /media/ezekiel/Merlin/.openclaw/workspace/skills/axiomata-skill-evaluator-strict/eval-skill.py \x3Cskill-path> --verbose

Quick Score

python3 /media/ezekiel/Merlin/.openclaw/workspace/skills/axiomata-skill-evaluator-strict/evaluator.py \x3Cskill-path> 2>&1 | grep -E "Score|STATUS"

5. STRICT RULES

The 90% Law

RULE #1: 90% OR REJECTED
   → NO skill below 90% is approved
   → This is NON-NEGOTIABLE

RULE #2: NO PARTIAL CREDIT
   → 89% = REJECTED (not "almost there")
   → 90% = APPROVED (the only valid threshold)

RULE #3: DETERMINISTIC SCORING
   → Same input = Same output every time
   → No evaluator bias
   → Pure mathematical threshold

RULE #4: AUTO-IMPROVE BEFORE REJECT
   → If \x3C 90%, run --improve first
   → If still \x3C 90% after improvement = REJECTED
   → Report exactly what failed

RULE #5: NO APPEAL
   → 89% cannot be "appealed" to 90%
   → The only path is actual improvement

Scoring Matrix

Score Range Status Action
90-100 🟢 APPROVED Ready for production
80-89 🔴 REJECTED Major improvements needed
70-79 🔴 REJECTED Fundamental issues
\x3C70 🔴 REJECTED Complete rewrite required

6. REJECTION CRITERIA

Automatic Rejection Triggers

A skill is automatically REJECTED if ANY of these occur:

Trigger Severity Description
Score \x3C 90% CRITICAL Below 90% threshold
ISO \x3C 100% CRITICAL Any ISO check failed
Missing SKILL.md CRITICAL Core file missing
Invalid frontmatter HIGH name or description missing
No trigger words HIGH Cannot be activated

7. APPROVAL CRITERIA

Automatic Approval Requirements

ALL of these MUST be true for APPROVAL:

Requirement Strict (90%)
Axioma 5-Dim 90+/100
Structure 18+/20
Clarity 18+/20
Completeness 18+/20
Consistency 18+/20
Functionality 18+/20
ISO 25010 100% (13/13)

8. COMPARISON: STANDARD vs STRICT

Aspect Standard (70%) Strict (90%)
Threshold 70/100 90/100
Approval rate ~70% of skills ~30% of skills
Quality bar "Good enough" "Excellence only"
Deterministic No YES
Use case Development Production
ClawHub ready Maybe Always

9. PATHS CONFIGURATION

Component Path
Strict Evaluator /media/ezekiel/Merlin/.openclaw/workspace/skills/axiomata-skill-evaluator-strict/
Evaluator Script /media/ezekiel/Merlin/.openclaw/workspace/skills/axiomata-skill-evaluator-strict/evaluator.py
ISO Script /media/ezekiel/Merlin/.openclaw/workspace/skills/axiomata-skill-evaluator-strict/eval-skill.py

10. OUTPUT EXAMPLES

Score >= 90%

╔═══════════════════════════════════════════════════════════╗
║  ✅ SKILL APPROVED — 92/100                              ║
║  Threshold: 90% (STRICT)                                  ║
║  STATUS: READY FOR PRODUCTION                             ║
╚═══════════════════════════════════════════════════════════╝

Score \x3C 90%

╔═══════════════════════════════════════════════════════════╗
║  ❌ SKILL REJECTED — 82/100 (need 90)                    ║
║  Gap: -8%                                                ║
║  FAILED: Consistency (15/20), Functionality (12/20)     ║
╚═══════════════════════════════════════════════════════════╝

In Altum Per Strictness. 🧪 AXIOMA SKILL EVALUATOR STRICT — 90% DETERMINISTIC

Usage Guidance
Install only if you want a local heuristic skill-evaluation aid. Do not treat its 90% score as a final safety or production approval, and avoid --improve unless you first run it on a copy and review all file changes. Clarify the sensitive-credential capability signal before granting any credentials or broader access.
Capability Analysis
Type: OpenClaw Skill Name: axiomata-skill-evaluator-strict-en Version: 1.0.0 The bundle is a specialized utility for evaluating the quality and structure of OpenClaw skills, enforcing a strict 90% deterministic threshold. It contains Python scripts (eval-skill.py and evaluator.py) that perform static analysis, including checking for hardcoded secrets via regex, validating Python syntax using the 'ast' module, and verifying SKILL.md formatting. While the files contain numerous hardcoded absolute paths (e.g., /media/ezekiel/Merlin/...) and references to local service APIs (Ollama at localhost:11434), these are non-malicious artifacts of a specific development environment. No evidence of data exfiltration, unauthorized remote execution, or harmful prompt injection was found.
Capability Tags
requires-sensitive-credentials
Capability Assessment
Purpose & Capability
The stated purpose is coherent—evaluating OpenClaw skills—but the artifacts frame the result as a deterministic production approval gate even though the included evaluator is described as structural and heuristic.
Instruction Scope
The instructions require strict approve/reject decisions and say to run an improvement mode before rejection, which could affect evaluated skills without clearly explaining scope, reversibility, or user approval.
Install Mechanism
Registry data says there is no install spec and describes this as instruction-only, but the manifest includes two Python files intended to be run manually. This is not inherently unsafe, but users should review the scripts before running them.
Credentials
The commands and code use user-specific absolute paths under /media/ezekiel/... and local curl checks. These look diagnostic and purpose-aligned, but they may not be portable or appropriate for another user's environment.
Persistence & Privilege
No clear background persistence, privilege escalation, or exfiltration is shown. However, the registry capability signal says sensitive credentials may be required while metadata declares none, which should be clarified before installation.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install axiomata-skill-evaluator-strict-en
  3. After installation, invoke the skill by name or use /axiomata-skill-evaluator-strict-en
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
English version of strict 90% skill evaluator
Metadata
Slug axiomata-skill-evaluator-strict-en
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Axioma Skill Evaluator Strict EN?

AXIOMA SKILL EVALUATOR STRICT — The 90% deterministic skill evaluator. Fork of axioma-skill-evaluator with STRICT 90% threshold (like STC 0.777). Use when: (... It is an AI Agent Skill for Claude Code / OpenClaw, with 20 downloads so far.

How do I install Axioma Skill Evaluator Strict EN?

Run "/install axiomata-skill-evaluator-strict-en" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Axioma Skill Evaluator Strict EN free?

Yes, Axioma Skill Evaluator Strict EN is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Axioma Skill Evaluator Strict EN support?

Axioma Skill Evaluator Strict EN is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Axioma Skill Evaluator Strict EN?

It is built and maintained by Kofna3369 (@kofna3369); the current version is v1.0.0.

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