SKILLEMALL.ai

BC agency-hq

A pixel art office visualization for your AI agent team. Shows real-time agent status, activity feeds, and personality-driven banter. Works with OpenClaw in live mode or standalone in demo mode.

ClawHub Agent Skills author: spockthegreatbot v1.0.0 MIT-0 21 files body ≈ 694 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 58/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

ReferenceAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
93
Quality 40%
82
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    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 · 7

    ✓ No critical or high findings

    Medium and low: 7
    • low Secrets in code secret-high-entropy-token package-lock.json:270
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…SzS+cfgl…B0A==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:424
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…9PG+kCof…Am7/aWYGhXZ9cw==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:461
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…yQ4+1JEU…qkW+cY7W…Kyb+GUaGyKUA==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:599
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…byA+l3XtsAj+Q8tf…oOo+X6HZ…Q8A==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:647
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…bSm+x6ETixtKZBh/qbRE…8Sr/Wcyx…yGA==",
      detector
    • low Exfiltration read-dotenv README.md:56
      Reads a .env file
      cp .env.example .env.local
    • low Exfiltration read-dotenv SKILL.md:35
      Reads a .env file
      cp .env.example .env.local

    Files scanned: 21. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 58/100

    • 0Result and completion. Does not say what the result is
    • 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. 2 mutating operations with no state check
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 16 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 694 tokens

    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
    • -31 of 1 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 194: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 16 items
    • +4Has examples (3 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

    External checks

    ClawHub: suspicious
    Agency HQ appears to be a legitimate dashboard, but its live mode can expose real OpenClaw prompts and activity through unauthenticated web endpoints, and the documented default mode is inconsistent with the code.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026