BD git-commit-formatter
Format commit message theo Conventional Commits standard (Conventional Commits v1.0.0). Input là git diff hoặc mô tả thay đổi, output là commit message có type/scope/body. Dùng khi user nói "format commit", "commit message", "conventional commit", "viết message cho git", hoặc khi có Git diff cần chuyển đổi thành commit message chuẩn. KHÔNG dùng cho: tạo branch, merge PR, revert commit (có patterns riêng).
Format commit message theo Conventional Commits standard (Conventional Commits v1.0.0). Input là git diff hoặc mô tả thay đổi, output là commit message có…
As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 43/100
- 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. 16 mutating operations with no state check
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 73 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2468 tokens
- low 15 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (7 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -227 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +3Description length 408: enough signal without eating the budget
- +4Structure: 25 headings
- +3Step-by-step instructions: 73 items
- +4Has examples (10 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.