SKILLEMALL.ai

AD github-accelerator

Use when GitHub access fails: fallback mirrors for git.

ClawHub Hermes author: Ruolong Zhang v1.2.1 MIT-0 5 files · 1 script body ≈ 2 004 tokens Open the sourceclawhub.ai analyzed 32 h ago

GitHub 访问不畅时的降级加速技能:直连优先 → 镜像兑底 → 用前探测。覆盖网页内容获取、仓库克隆、raw/Release 文件下载三类场景,核心逻辑封装在自包含脚本 scripts/ghaccel.sh(仅依赖 bash + curl + git)。 bash

As a process D 40/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureGitHubSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
D
40/100
Unfinished process
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 · 0

    ✓ No critical or high findings

    Files scanned: 5. 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 40/100

    • 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, web, git) that frontmatter does not declare
    • 60Consistency. The Hermes dialect needs category and tags
    • 100Steps. 64 steps
    • 100Execution cost. Instruction body is 2004 tokens
    • low 11 top-level sections: this looks like several domains in one skill

    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)
    • +3Description length 55: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -222 emoji in the instructions: noise for the model
    • +2Single-language instructions
    • +4Structure: 31 headings
    • +3Step-by-step instructions: 64 items
    • +4Has examples (10 code blocks)
    • +3All 1 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: suspicious
    This GitHub mirror helper is mostly purpose-aligned, but it contains unsafe clone cleanup that can delete an existing folder and guidance for authenticated repository writes.
    LLM: suspicious (high) · 8 Sept 2026