SKILLEMALL.ai

A software-data-github-interact-developer-helper

Help users with Validated demand: Agent users show strong demand for Github-style workflows on Clawhub. They need practical help fixing bugs, hardening setup and safety, improving reliability, or creating adjacent skills inspired by the same job-to-be-done. This requirement is supported by 12 separate online signals across 3 source families, so it represents broader demand rather than a single isolated request.. Use when a user asks for software-and-data, github, interact, cli, issue, or needs a practical workflow, artifact, checklist, analysis, or implementation support for this requirement.

ClawHub Agent Skills author: Kyro v0.20260702.35207 MIT-0 7 files body ≈ 682 tokens open source ↗ analyzed 28 h ago
AnalyzerGitHubAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
A
94/100
Overall score
Safety 60%
100
Quality 40%
84
Tests bonus
0
This is a copy of a skill from another catalog; the rating counts the canonical one: software-data-github-interact-developer-helper (ClawHub)

How to improve

  1. Add evals/evals.json with 4–6 real requests and expected answers: the full check will then use your cases instead of a model draft.
  2. Add a spec.yaml with triggers and assertions (skilltest init): the behaviour contract for CI.

Guard findings · 0

✓ No critical or high findings

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Lint

✓ Lint: no remarks

Process maturity 62/100

  • 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
  • 40Result and completion. Does not say what the result is
  • 40Consistency. Frontmatter name (software-data-github-interact-developer-helper) differs from the folder (software-data-github-interact-developer-helper-035207)
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Tools and files. No external tools needed
  • 100Steps. 16 steps
  • 100Execution cost. Instruction body is 682 tokens
  • 100Running it twice. No mutating operations

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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 599: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 16 items
  • +4Reference files are cited in the instructions (1 of 1)

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

External checks

ClawHub: clean
This skill appears to be an over-broad workflow helper, but the supplied evidence does not show malware, hidden data access, or destructive behavior.
LLM: benign (medium) · VirusTotal: · 9 Jul 2026