SKILLEMALL.ai

AC executive-os

Build or operate a chief-of-staff style communications layer that merges multiple inboxes and chat sources into one prioritized digest with follow-up memory, decision tracking, recommendations, alerts, and a strict no-send boundary.

ClawHub Agent Skills author: heyalerio v0.0.1 MIT-0 9 files body ≈ 420 tokens Open the sourceclawhub.ai analyzed 5 d ago

As a process C 61/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, consistency

GeneratorInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
C
61/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
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.
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: 9. 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")

Process rating: all ten parameters 61/100

  • 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. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (executive-os) differs from the folder (executive-os-clean)
  • 60Result and completion. Output format stated, no completion criterion
  • 70Failures and branches. 5 branches
  • 100Tools and files. No external tools needed
  • 100Steps. 25 steps
  • 100Execution cost. Instruction body is 420 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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)
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 232: enough signal without eating the budget
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 25 items
  • +3Output format is stated explicitly
  • +4Reference files are cited in the instructions (7 of 7)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This skill is a disclosed communications-triage assistant that reads user-provided inbox, chat, and note context to make prioritized digests without sending or mutating external systems by default.
LLM: benign (high) · VirusTotal: · 29 May 2026