AC git-sync
Manage whitelisted git repositories from chat. Status, log, diff, pull, push with security controls — only approved repos, write commands need confirmation. Repo list configurable via ~/.config/git-sync/repos.json (overrides defaults). Triggers on "git status", "repo status", "push thesis", "pull polito", "check repo", "uncommitted changes", "commit recenti". NOT for: arbitrary git repos, destructive operations (clean, reset --hard).
As a process C 50/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
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") - note
frontmatter-keyunknown frontmatter key "dependencies"
Process rating: all ten parameters 50/100
- 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
- 30Running it twice. 2 mutating operations with no state check
- 40Consistency. Frontmatter name (git-sync) differs from the folder (lookupmark-git-sync)
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Steps. 5 steps
- 100When it triggers. States when to use and when not to
- 100Execution cost. Instruction body is 303 tokens
- 100Progress reporting. Reports progress
- 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
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +5Description quotes 7 example trigger phrases
- +4Description says when NOT to use the skill
- +3Description length 437: enough signal without eating the budget
- +4Structure: 4 headings
- +3Step-by-step instructions: 5 items
- +4Has examples (1 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.