SKILLEMALL.ai

BF task-executor

Disciplined execution loop for a single defined task — Understand → Inspect → Plan → Execute incrementally → Validate after every change → Track assumptions → Update progress. Forces a strict per-turn output format (Goal / Current understanding / Files to inspect / Plan / Progress / Risks / Assumptions) so the work stays legible and resumable instead of devolving into ad-hoc edits. When the inspection set spans multiple layers (controller + service + persistence + tests), Phase 2 convenes an **inspection council**: parallel `Explore` sub-agents — one per layer — each map their slice and return `file:line`-cited findings on existing patterns, wiring points, and sibling test classes; the main session aggregates the results into `Current understanding` so the working context window stays free for execution. Small inspection sets skip the council. Enters Plan Mode after inspection and gates on `ExitPlanMode` approval before writing any code. Each incremental change is followed by a validation step (run the test, build, type-check, or curl the endpoint) before moving to the next checkbox. Use this skill whenever the user says "/task-executor", "Work on task: <description>", "task-executor", or hands you a single concrete task to execute with discipline — even if they don't name the skill. Do **not** auto-trigger on greenfield feature design with a fuzzy spec — this skill assumes the spec is given.

ClawHub Agent Skills author: Dennis Rongo v1.0.1 MIT-0 2 files body ≈ 4 196 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 61/100 · Will not run — References files that are not bundled: ../diagnose/SKILL.md

AnalyzerSoftware developmentAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
80/100
safety, quality, tests
Safety 60%
99
Quality 40%
51
Run on models
none yet
Process rating
F
61/100
Will not run
References files that are not bundled: ../diagnose/SKILL.md
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. Shorten the description to 1024 characters.
  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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Concealment en-hide-from-user SKILL.md:63
    Instruction to hide actions from the user (negated — the text forbids it)
    - **Progress checkboxes are append-only across turns.** Never silently delete a step — if a step is dropped, leave it ticked or struck and explain in `Current understanding`.
    negated

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1415 chars, limit 1024
  • warning missing-ref reference to a missing file: ../diagnose/SKILL.md

Process rating: all ten parameters 61/100

Will not run. References files that are not bundled: ../diagnose/SKILL.md
  • 0Tools and files. 1 referenced file(s) missing: ../diagnose/SKILL.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 12 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 4196 tokens
  • 100Steps. 66 steps
  • 100Result and completion. Output format and completion criterion are stated
  • 100Failures and branches. 16 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 1415: 120–800 characters recommended
  • -5TODO / placeholder text left in the skill
  • -218 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 66 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 51.

External checks

ClawHub: clean
This is a workflow-discipline skill for coding tasks; it adds process and optional inspection helpers but does not install code, persist itself, or hide unrelated access.
LLM: benign (high) · VirusTotal: · 28 Aug 2026