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BC environment-setup-guide

Guide developers through setting up development environments with proper tools, dependencies, and configurations

sickn33/agentic-awesome-skills Agent Skills author: sickn33 MIT 1 file body ≈ 2 899 tokens Open the sourcegithub.com↗ analyzed 17 h ago

Guide developers through setting up development environments with proper tools, dependencies, and configurations

As a process C 54/100 · Has gaps — weak spots: result and completion, failures and branches, running it twice

ProcedureDockerPostgreSQLGitHubInfrastructureSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
83
Quality 40%
79
Run on models
none yet
Process rating
C
54/100
Has gaps
Failures and branches w 10
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: environment-setup-guide (sickn33/agentic-awesome-skills)

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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • medium Dangerous commands cmd-shell-rc SKILL.md:173
      Writes to a shell startup file
      echo 'export PATH=~/.npm-global/bin:$PATH' >> ~/.bashrc
    • medium Dangerous commands cmd-privilege SKILL.md:272
      Privilege escalation / world-writable permissions
      sudo sh get-docker.sh
    • medium Dangerous commands cmd-shell-rc SKILL.md:399
      Writes to a shell startup file
      echo 'export PATH=~/.npm-global/bin:$PATH' >> ~/.bashrc
    • low Exfiltration read-dotenv SKILL.md:140
      Reads a .env file
      cp .env.example .env
    • low Exfiltration read-dotenv SKILL.md:454
      Reads a .env file
      cp .env.example .env

    Files scanned: 1. 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 54/100

    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 6 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, python, node) that frontmatter does not declare
    • 60Steps. 65 steps, 7 vague phrases
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2899 tokens
    • low 10 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 112: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -2localhost URLs: will not work for another user
    • +1No license
    • +2Single-language instructions
    • +4Structure: 25 headings
    • +3Step-by-step instructions: 65 items
    • +4Has examples (9 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.