SKILLEMALL.ai

AC Git

Commits, branches, merges, and rebases Git repositories, resolves conflicts, and recovers lost history. Use when the work touches a repo, commit, branch, merge, rebase, stash, tag, or submodule; when Git refuses a command — index.lock exists, push rejected as non-fast-forward, detached HEAD, dubious ownership, unrelated histories, conflict markers left behind; when something looks lost after a hard reset, a bad rebase, a deleted branch, or a dropped stash; when splitting a mixed change, wording commit messages, cleaning history before review, or force-pushing without wrecking a teammate's work; when a credential or a huge file got committed; when setting up worktrees, hooks, LFS, sparse checkout, signing, or separate work and personal identities. Not for CI pipeline YAML (github-actions, gitlab) or for composing the pull request description itself (pull-request).

ClawHub Agent Skills author: Iván v1.0.12 MIT-0 23 files body ≈ 4 209 tokens Open the sourceclawhub.ai analyzed 2 d ago

Commits, branches, merges, and rebases Git repositories, resolves conflicts, and recovers lost history.

As a process C 61/100 · Has gaps — weak spots: inputs and preconditions, running it twice

ProcedureGitHubGitLabSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
99
Quality 40%
76
Run on models
none yet
Process rating
C
61/100
Has gaps
Inputs and preconditions w 11
0
Running it twice w 4
30
When it triggers w 12
50
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 Secrets in code secret-aws-key secrets.md:31
      AWS access key ID (placeholder value)
      `expressions.txt` holds one rule per line: `lite…PLE==>REDACTED` or `regex:ghp_[A-Za-z0-9]{36}==>REDACTED`.
      placeholder

    Files scanned: 23. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
    • note frontmatter-key unknown frontmatter key "slug"
    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "changelog"

    Process rating: all ten parameters 61/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 94 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (bash, web, git) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Execution cost. Instruction body is 4209 tokens
    • 100Steps. 47 steps
    • 100Consistency. Name and required fields are in place
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 13 top-level sections: this looks like several domains in one skill
    • low The response is described with custom markup (6 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +3Description length 875: 120–800 characters recommended
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 47 items
    • +3Output format is stated explicitly

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

    External checks

    ClawHub: clean
    This Git helper skill contains expected repository-management guidance and scoped local preference memory, with no hidden execution or data exfiltration found.
    LLM: benign (high) · VirusTotal: · 10 Sept 2026