SKILLEMALL.ai

BF agentskill

Let any agent produce code indistinguishable from the existing codebase.

ClawHub Agent Skills author: Francesco Sardone v1.4.0 MIT-0 80 files body ≈ 4 981 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 46/100 · Will not run — References files that are not bundled: examples/, examples/SINGLE_LANGUAGE.md, examples/MONOREPO.md

GeneratorAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
58
Run on models
none yet
Process rating
F
46/100
Will not run
References files that are not bundled: examples/, examples/SINGLE_LANGUAGE.md, examples/MONOREPO.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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: 59. 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: examples/
  • warning missing-ref reference to a missing file: examples/SINGLE_LANGUAGE.md
  • warning missing-ref reference to a missing file: examples/MONOREPO.md
  • warning missing-ref reference to a missing file: examples/MULTI_LANGUAGE.md

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: examples/, examples/SINGLE_LANGUAGE.md, examples/MONOREPO.md
  • 0Tools and files. 4 referenced file(s) missing: examples/, examples/SINGLE_LANGUAGE.md, examples/MONOREPO.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 3 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 70Execution cost. Instruction body is 4981 tokens
  • 100Steps. 26 steps
  • 100Failures and branches. 7 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • 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)
  • +3Description length 72: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -31 of 10 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (10 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.

External checks

ClawHub: clean
This skill is a disclosed repository-analysis tool that creates or updates AGENTS.md files, with no artifact-backed evidence of hidden or malicious behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026