SKILLEMALL.ai
GitHub ↗ RU Sign in

CF principle-build-the-lever

Apply to any non-trivial work, not just bulk work: edits, migrations, analyses, checks. Build the tool that does it or proves it (codemod, script, generator, or a skill your subagents follow) instead of working by hand. The tool is the artifact a reviewer can rerun.

cursor/plugins Claude Code author: cursor 1 file body ≈ 509 tokens Open the sourcegithub.com↗ analyzed 3 d ago

Apply to any non-trivial work, not just bulk work: edits, migrations, analyses, checks.

As a process F 33/100 · No process to follow — References files that are not bundled: ../principle-laziness-protocol/SKILL.md, ../principle-encode-lessons-in-structure/SKILL.md, ../principle-prove-it-works/SKILL.md

GeneratorSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
81/100
safety, quality, tests
Safety 60%
100
Quality 40%
52
Run on models
none yet
Process rating
F
33/100
No process to follow
References files that are not bundled: ../principle-laziness-protocol/SKILL.md, ../principle-encode-lessons-in-structure/SKILL.md, ../principle-prove-it-works/SKILL.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
This is a copy of a skill from another catalog; the rating counts the canonical one: principle-build-the-lever (cursor/plugins)

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: 1. 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: ../principle-laziness-protocol/SKILL.md
  • warning missing-ref reference to a missing file: ../principle-encode-lessons-in-structure/SKILL.md
  • warning missing-ref reference to a missing file: ../principle-prove-it-works/SKILL.md

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: ../principle-laziness-protocol/SKILL.md, ../principle-encode-lessons-in-structure/SKILL.md, ../principle-prove-it-works/SKILL.md
  • 0Tools and files. 3 referenced file(s) missing: ../principle-laziness-protocol/SKILL.md, ../principle-encode-lessons-in-structure/SKILL.md, ../principle-prove-it-works/SKILL.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 100Steps. 6 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 509 tokens

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)
  • +4Structure: 1 headings, hard to scan
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 266: enough signal without eating the budget
  • +3Step-by-step instructions: 6 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 52.