SKILLEMALL.ai

AF accountability

Manage accountability items on the configured Monday.com board. Use when creating new accountability items, checking on existing ones, running work sessions, or when a cron job fires. Also use when the owner assigns accountability or asks about status.

ClawHub Agent Skills author: novalystrix v0.1.0 MIT-0 3 files · 1 script body ≈ 1 618 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 38/100 · Will not run — References files that are not bundled: scripts/monday-api.sh

GeneratorInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: scripts/monday-api.sh
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/monday-api.sh

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: scripts/monday-api.sh
  • 0Tools and files. 1 referenced file(s) missing: scripts/monday-api.sh
  • 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. 6 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 40Consistency. Frontmatter name (accountability) differs from the folder (monday-accountability)
  • 65Failures and branches. 3 branches
  • 85Steps. 33 steps, 2 vague phrases
  • 100Execution cost. Instruction body is 1618 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 252: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 33 items
  • +4Has examples (8 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: suspicious
The skill is not clearly malicious, but it gives an agent broad recurring authority to do work, change Monday.com data, contact people, and delegate tasks without tight controls.
LLM: suspicious (high) · VirusTotal: · 29 May 2026