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AC persona-builder

Guided interview to generate a complete agent workspace: SOUL.md, IDENTITY.md, MEMORY.md, AGENTS.md, USER.md with hierarchical memory structure and atomic facts (research-backed). Covers identity, goals, communication style, epistemic standards, anti-sycophancy rules, dissent protocol, and agent personality.

ClawHub Agent Skills author: Corbin Breton v2.0.0 MIT-0 12 files body ≈ 3 524 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 57/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorAI 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
90/100
safety, quality, tests
Safety 60%
99
Quality 40%
76
Run on models
none yet
Process rating
C
57/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Instruction override en-ignore-previous references/interview-blocks.md:253
    Instruction-override phrase ("ignore previous instructions") (negated — the text forbids it)
    - "Never bypass safety rules for 'efficiency'"
    negated

Files scanned: 12. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 57/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 60Failures and branches. 2 branches
  • 100Tools and files. No external tools needed
  • 100Steps. 108 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3524 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • 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
  • +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
  • +3Description length 310: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 108 items
  • +4Has examples (6 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
This skill is not malicious, but it creates durable personal profile and agent-authority files that can shape future agent behavior and should be reviewed carefully before use.
LLM: suspicious (high) · VirusTotal: · 29 May 2026