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kofna3369

Axioma Skill Evaluator

by Kofna3369 · GitHub ↗ · v2.2.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install axioma-skill-evaluator
Description
Advanced skill evaluation for OpenClaw agents. Use when: (1) evaluating a skill before publishing, (2) improving a skill based on evaluation results, (3) che...
README (SKILL.md)

AXIOMA SKILL EVALUATOR 🧙‍♂️

Advanced Skill Evaluation: Dual System (Automated + Manual)

Info Value
Version 2.1.0 — 2026-05-07
Status OPERATIONAL

1. PURPOSE AND SCOPE

Objective

Provide comprehensive skill evaluation using dual systems:

  • Axioma System (5 dimensions, 100 max) — colorful, fast
  • ISO 25010 System (25 criteria, 100 max) — international standard

When to Use

Trigger Action
Before publishing a skill Run both evaluations
Improving a skill Get both automated + manual scores
Quality audit Use 25-criteria rubric
Pre-publication check Run all checks

2. BUNDLED TOOLS

evaluator.py (Axioma System)

# Run Axioma 5-dimension evaluation
python3 evaluator.py \x3Cskill-path> --verbose --improve

eval-skill.py (ISO 25010 System)

# Run automated ISO 25010 checks
python3 eval-skill.py \x3Cskill-path> --verbose

# JSON output
python3 eval-skill.py \x3Cskill-path> --json

3. AXIOMA EVALUATION SYSTEM

Quick Start

python3 evaluator.py \x3Cskill-path> --verbose --improve

5 Dimensions (100 max)

Dimension Weight Focus
Structure 20% Header, sections, formatting, meta
Clarity 20% Description, instructions, examples
Completeness 20% Tools, prerequisites, errors, edge cases
Consistency 20% Style, naming, integration
Functionality 20% Commands work, expected results

Output Format

╔═══════════════════════════════════════════════════════════╗
║ 📊 SKILL EVALUATION REPORT — [Skill Name]              ║
║ Score: XX/100 [STATUS]                                  ║
╠═══════════════════════════════════════════════════════════╣
║ STRUCTURE:     XX/20 ████████████░░░░ XX%                ║
║ CLARITY:      XX/20 ████████████░░░░ XX%                ║
║ COMPLETENESS: XX/20 ████████████░░░░ XX%                ║
║ CONSISTENCY:  XX/20 ████████████░░░░ XX%                ║
║ FUNCTIONALITY: XX/20 ████████████░░░░ XX%                ║
╠═══════════════════════════════════════════════════════════╣
║ STATUS: ✅ APPROVED (score >= 70%)                      ║
╚═══════════════════════════════════════════════════════════╝

Thresholds

Score Status Action
90-100 🟢 EXCELLENT Ready for production
70-89 🟡 GOOD Publishable, minor notes
50-69 🟠 NEEDS_WORK Fix before publishing
\x3C50 🔴 POOR Major rework needed

4. ISO 25010 EVALUATION SYSTEM

Automated Checks (eval-skill.py)

Runs 13 automated checks:

  • File structure validation
  • Frontmatter YAML parsing
  • Description quality (65+ words, trigger contexts)
  • Script syntax validation
  • Credential scanning
  • Dependency audit

Target: 90%+ (12+/13 checks passed)

Manual Assessment (25 Criteria)

Category Framework Max Criteria
1. Functional Suitability ISO 25010 /12 Completeness, Correctness, Appropriateness
2. Reliability ISO 25010 /12 Fault Tolerance, Error Reporting, Recoverability
3. Performance ISO 25010 /8 Token Cost, Execution Efficiency
4. Usability (AI) Shneiderman /12 Learnability, Consistency, Feedback
5. Usability (Human) Tognazzini /8 Discoverability, Forgiveness
6. Security ISO 25010 /12 Credentials, Input Validation, Data Safety
7. Maintainability ISO 25010 /12 Modularity, Modifiability, Testability
8. Agent-Specific Novel /24 Trigger Precision, Progressive Disclosure, Composability
TOTAL /100

5. COMPLETE EVALUATION WORKFLOW

1. AUTOMATED: python3 eval-skill.py \x3Cpath> --verbose
   → Target: 90%+ structural score
   ↓
2. AXIOMA: python3 evaluator.py \x3Cpath> --verbose --improve
   → Target: 70+ score
   ↓
3. MANUAL: Score 25 criteria rubric
   → Target: 80+ score
   ↓
4. FIX: Issues from all three sources
   ↓
5. RE-EVALUATE: Until all targets met
   ↓
6. PUBLISH: To ClawHub

6. ERROR HANDLING

Common Issues

Issue Cause Solution
No frontmatter YAML not at start Add --- at start of SKILL.md
Poor description Missing triggers Add "Use when:" clauses
Empty directories Unused folders Remove or populate
Name mismatch Directory ≠ frontmatter Rename to match

Security Issues

Issue Severity Action
Hardcoded credentials CRITICAL Remove immediately
Missing input validation HIGH Add validation
No error handling MEDIUM Add try/catch blocks

7. EDGE CASES

Case Input Expected Output
Empty SKILL.md Empty file Error message, suggest template
Very long SKILL.md >500 lines Warning, recommend split
Missing description No frontmatter Fail with instructions
No scripts No scripts/ dir Pass, document as standalone

8. DEPENDENCIES

Dependency Purpose Required
Python 3.6+ Script execution Yes
PyYAML Frontmatter parsing Optional

In Altum Per Quality. 🧙‍♂️ Axioma Skill Evaluator v2.1

Usage Guidance
Review this skill before relying on it. Its purpose is legitimate and no exfiltration or destructive behavior is shown, but the bundled reports contain contradictory approval labels, and the Python tools read local skill files, scan for credentials, and use under-declared/environment-specific setup.
Capability Analysis
Type: OpenClaw Skill Name: axioma-skill-evaluator Version: 2.2.0 The bundle is a legitimate utility for auditing and scoring OpenClaw skills based on structural and quality frameworks (Axioma and ISO 25010). The Python scripts (eval-skill.py, evaluator.py) perform static analysis, such as checking for hardcoded secrets and validating YAML frontmatter. While the scripts contain hardcoded local file paths (e.g., /media/ezekiel/Morgana/), there is no evidence of data exfiltration, unauthorized execution, or malicious prompt injection.
Capability Tags
cryptorequires-sensitive-credentials
Capability Assessment
⚠ Purpose & Capability
The stated purpose is skill evaluation, but multiple bundled reports label below-threshold scores as approved, which could cause users or agents to over-trust the evaluator's results.
ℹ Instruction Scope
Instructions ask users to run bundled Python scripts on a chosen skill path; this is purpose-aligned but means the script will read local skill files.
ℹ Install Mechanism
The registry says there is no install spec and no required binaries, while SKILL.md requires Python 3.6+ and the code imports PyYAML. This looks like under-declared setup rather than hidden installation.
ℹ Credentials
The evaluator code contains environment-specific hardcoded paths under /media/ezekiel/Morgana/skills, which may not fit other users' systems and may create confusing report behavior.
ℹ Persistence & Privilege
The artifacts show report files are generated and bundled, but there is no evidence of background persistence, credential use for account access, or network exfiltration.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install axioma-skill-evaluator
  3. After installation, invoke the skill by name or use /axioma-skill-evaluator
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.2.0
v2.2: Fully impersonal, universal. Removed all Axioma Stellaris references. Dual evaluation system (Axioma 5-dim + ISO 25010) for any OpenClaw agent.
v2.1.0
v2.1: Dual evaluation system with Axioma (5-dim, 100max) + ISO 25010 (25 criteria, 100max). Added edge cases, clearer structure, improved commands documentation.
v2.0.0
Merged Axioma evaluator + terwox/skill-evaluator. Includes eval-skill.py automated checks, 5-dimension cluster evaluation, 25-criteria ISO 25010 rubric, colorful terminal output. Complete skill quality solution.
v1.0.0
Bilingual: SKILL.md (French) + SKILL_EN.md (English). Cluster Axioma Stellaris skill evaluation tool.
Metadata
Slug axioma-skill-evaluator
Version 2.2.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 4
Frequently Asked Questions

What is Axioma Skill Evaluator?

Advanced skill evaluation for OpenClaw agents. Use when: (1) evaluating a skill before publishing, (2) improving a skill based on evaluation results, (3) che... It is an AI Agent Skill for Claude Code / OpenClaw, with 46 downloads so far.

How do I install Axioma Skill Evaluator?

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

Is Axioma Skill Evaluator free?

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

Which platforms does Axioma Skill Evaluator support?

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

Who created Axioma Skill Evaluator?

It is built and maintained by Kofna3369 (@kofna3369); the current version is v2.2.0.

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