SKILLEMALL.ai

BB github-forker

Use this skill when the user wants to fork a GitHub repository — creating their own copy of a repo under their GitHub account. Trigger on any fork or copy-to-account intent paired with a GitHub repo reference, whether the URL appears in plain text (with or without https://), or is visible inside a screenshot or image the user shares. Applies equally in English and Chinese (fork下来, fork一下, 帮我fork, copy to my account). The repo reference may be a full URL, a subdirectory URL (strip to owner/repo), or a bare github.com/owner/repo string. Do not trigger for cloning locally, submitting PRs, reviewing or analyzing code, checking commit history, or searching for repos.

ClawHub Agent Skills author: chat2dev v0.1.1 MIT-0 3 files body ≈ 1 303 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process B 71/100 · Nearly there — weak spots: result and completion, inputs and preconditions

AnalyzerGitHubSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
90
Quality 40%
84
Run on models
none yet
Process rating
B
71/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
70
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • medium Dangerous commands cmd-shell-rc README.md:50
      Writes to a shell startup file
      echo 'export GITHUB_TOKEN="ghp_..."' >> ~/.zshrc   # zsh
    • medium Dangerous commands cmd-shell-rc README.md:51
      Writes to a shell startup file
      echo 'export GITHUB_TOKEN="ghp_..."' >> ~/.bashrc  # bash

    Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 71/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 26 steps
    • 100Failures and branches. 5 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1303 tokens
    • 100Running it twice. No mutating operations
    • 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 670: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 26 items
    • +4Has examples (7 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: suspicious
    This skill can fork GitHub repositories, but it also automatically stars them from the user's account without a separate opt-in step.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026