SKILLEMALL.ai

AC git-log-tracker

Git post-commit hook + SQLite commit index tool. Automatically records every commit's metadata (hash, author, branch, repo, subject) into a local SQLite database, then provides a CLI to query, list, stats, delete, and update records. Trigger: managing git hooks, querying commit history across repos, finding which repo a commit belongs to, viewing commit statistics, recording commits to a local index. Use this skill whenever the user mentions commit logging, commit indexing, finding commits across repos, git hook management, or wants to query their commit history in a structured way — even if they don't explicitly name the tool.

ClawHub Agent Skills author: Kinema. v0.7.0 MIT-0 28 files · 1 script body ≈ 1 334 tokens Open the sourceclawhub.ai analyzed 2 d ago

Git post-commit hook + SQLite commit index tool.

As a process C 51/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

IntegrationGitHubSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
99
Quality 40%
85
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    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 Dangerous commands cmd-pipe-to-shell-known-host references/ONBOARDING.md:240
      Pipe-to-shell installer from a well-known host (still executes remote code) (documentation table row)
      | `uv: command not found` | uv 未安装 | `curl -LsSf https://astral.sh/uv/install.sh \| sh` |
      table

    Files scanned: 17. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "displayName"
    • note edit-residue the text marks something as outdated (lines 80): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 51/100

    • 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. 15 mutating operations with no state check
    • 60Tools and files. Uses tools (git) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 8 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1334 tokens
    • 100Progress reporting. Reports progress

    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)
    • +3Output format is not stated: the model decides each time
    • -31 of 1 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 635: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 8 items
    • +4Has examples (19 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: suspicious
    The tool is mostly a local commit indexer, but it also includes unrelated agent-behavior policy files and high-impact hook, global Git, and data-reset behavior that should be reviewed before installation.
    LLM: suspicious (high) · VirusTotal: · 16 Jul 2026