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BC courtroom

AI Courtroom for behavioral oversight. Autonomous daemon that monitors conversations, detects behavioral violations, and posts cases to a public API. Auto-starts on installation.

ClawHub Agent Skills author: Assassin-1234 v1.2.0 10 files body ≈ 1 253 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI 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
B
75/100
safety, quality, tests
Safety 60%
80
Quality 40%
67
Run on models
none yet
Process rating
C
56/100
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Instruction override medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The text contains phrases like "ignore previous instructions" or "you are now…". That is an attempt to hijack the agent: it may break your rules, the system limits or company policy.

For the author

An honest skill does not need them: state the role and the rules directly without overriding other instructions. Otherwise catalog scanners and corporate filters will block the listing.

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 · 4

✓ No critical or high findings

Medium and low: 4
  • medium Instruction override en-ignore-previous analyze.js:87
    Instruction-override phrase ("ignore previous instructions") (detector / deny-list definition)
    const phrases = ['ignore previous instructions', 'disregard your training', 'pretend you are', 'you are now', 'DAN mode', 'developer mode', 'system prompt', 'ignore your constraints'];
    detector
  • medium Instruction override en-ignore-previous courtroom.js:104
    Instruction-override phrase ("ignore previous instructions") (quoted — discussed, not commanded)
    'ignore previous instructions',
    quoted
  • medium Instruction override en-ignore-previous daemon.js:147
    Instruction-override phrase ("ignore previous instructions") (detector / deny-list definition)
    const phrases = ['ignore previous instructions', 'disregard your training', 'pretend you are', 'you are now', 'DAN mode', 'developer mode', 'system prompt', 'ignore your constraints'];
    detector
  • medium Instruction override en-ignore-previous skill.js:107
    Instruction-override phrase ("ignore previous instructions") (quoted — discussed, not commanded)
    'ignore previous instructions',
    quoted

Files scanned: 10. 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 56/100

  • 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
  • 50Failures and branches. 0 branches, has a failure section
  • 100Tools and files. No external tools needed
  • 100Steps. 17 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1253 tokens
  • 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
  • -2localhost URLs: will not work for another user
  • -32 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 178: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 17 items
  • +4Has examples (12 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
This skill openly implements conversation monitoring, but it auto-starts a persistent daemon and can store and send conversation-derived case data externally without a clear opt-in or per-case approval step.
LLM: suspicious (high) · VirusTotal: malicious · 28 May 2026