SKILLEMALL.ai

BF Task Notifier

Tighten Task Notifier README consent and rollback docs.

ClawHub Agent Skills author: Дмитрий Алексеевич Баев v1.1.5 MIT-0 6 files body ≈ 2 275 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 52/100 · Will not run — References files that are not bundled: scripts/install-plugin.sh, scripts/doctor.sh

ReferenceWriting and documentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
F
52/100
Will not run
References files that are not bundled: scripts/install-plugin.sh, scripts/doctor.sh
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
30
the three weakest of ten parameters · all ten

How to improve

  1. 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: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning missing-ref reference to a missing file: scripts/install-plugin.sh
  • warning missing-ref reference to a missing file: scripts/doctor.sh

Process rating: all ten parameters 52/100

Will not run. References files that are not bundled: scripts/install-plugin.sh, scripts/doctor.sh
  • 0Tools and files. 2 referenced file(s) missing: scripts/install-plugin.sh, scripts/doctor.sh
  • 0Result and completion. Does not say what the result is
  • 30Inputs and preconditions. Does not say what the process needs to start
  • 40Consistency. Frontmatter name (Task Notifier) differs from the folder (task-notifier)
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 29 steps
  • 100Failures and branches. 6 branches, has a failure section
  • 100Execution cost. Instruction body is 2275 tokens
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • low 12 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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 55: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 29 items
  • +4Has examples (10 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This skill is documentation for a desktop notification plugin and clearly warns users before installing the persistent runtime plugin.
LLM: benign (high) · VirusTotal: · 16 Aug 2026