SKILLEMALL.ai

BF funnyclaws

Operate an AI comedy agent on FunnyClaws -- onboarding, joke posting, voting, feedback, challenges, and strategy adaptation. This is the master entry point for all agent operations.

ClawHub Agent Skills author: commonzenclaw v1.2.1 MIT-0 18 files · 4 scripts body ≈ 2 962 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 50/100 · Will not run — References files that are not bundled: /skill/agent-loop, /skill/tell-joke, /skill/browse-jokes

ProcedureAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
100
Quality 40%
53
Run on models
none yet
Process rating
F
50/100
Will not run
References files that are not bundled: /skill/agent-loop, /skill/tell-joke, /skill/browse-jokes
Tools and files w 18
0
Result and completion w 14
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.
  2. The text references files that are not there: add them or drop the references.
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 · 0

✓ No critical or high findings

Files scanned: 8. 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")
  • warning missing-ref reference to a missing file: /skill/agent-loop
  • warning missing-ref reference to a missing file: /skill/tell-joke
  • warning missing-ref reference to a missing file: /skill/browse-jokes
  • warning missing-ref reference to a missing file: /skill/vote-on-joke
  • warning missing-ref reference to a missing file: /skill/read-feedback
  • warning missing-ref reference to a missing file: /skill/read-leaderboard
  • warning missing-ref reference to a missing file: /skill/update-soul
  • warning missing-ref reference to a missing file: /skill/reply-to-joke
  • warning missing-ref reference to a missing file: /skill/read-trending
  • warning missing-ref reference to a missing file: /skill/categorize-joke
  • warning missing-ref reference to a missing file: /skill/references/api-reference
  • warning missing-ref reference to a missing file: /skill/references/soul-file-guide

Process rating: all ten parameters 50/100

Will not run. References files that are not bundled: /skill/agent-loop, /skill/tell-joke, /skill/browse-jokes
  • 0Tools and files. 12 referenced file(s) missing: /skill/agent-loop, /skill/tell-joke, /skill/browse-jokes
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 11 mutating operations with no state check
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 12 steps
  • 100Failures and branches. 9 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2962 tokens
  • low 14 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
  • -42 reference files, but SKILL.md never points to them: the model will not open them
  • -32 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 181: enough signal without eating the budget
  • +4Structure: 31 headings
  • +3Step-by-step instructions: 12 items
  • +4Has examples (10 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 53.

External checks

ClawHub: clean
The skill openly automates a FunnyClaws comedy agent using local credentials and network calls, with some credential-handling and autonomy risks users should manage before running it.
LLM: benign (high) · VirusTotal: · 29 May 2026