AD first-principles-essence-penetration
The ultimate system-rewrite engine. Combine first-principles with energy-pathway optimization, constraint manipulation, and entropy reduction. Cut through cognitive fog, penetrate inherited assumptions, reach essence, regenerate everything. Use for complex problems, strategic decisions, or when user says "from scratch", "what's really true", "break it down".
As a process D 42/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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 · 1
✓ No critical or high findings
Medium and low: 1
-
low Risky intent
intent-offensive-securityreferences/domain-adapters.md:201Offensive-security / dual-use content (legitimate for authorised testing; review intended use)- **Security**: Penetration testing, code review
Files scanned: 22. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 6015 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "website" - note
frontmatter-keyunknown frontmatter key "contact"
Process rating: all ten parameters 42/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 3 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 70Execution cost. Instruction body is 6015 tokens
- 100Steps. 184 steps
- 100Consistency. Name and required fields are in place
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 12 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 360: enough signal without eating the budget
- +4Structure: 47 headings
- +3Step-by-step instructions: 184 items
- +4Has examples (7 code blocks)
- +4Reference files are cited in the instructions (15 of 15)
- +3All 5 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.