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AC OpenCode-CLI-Controller

A powerful skill to control Open Code CLI via a local web server API. Allows executing commands, managing sessions, and automating code generation remotely in the local network.

modbender/skill-library-mcp Agent Skills author: modbender MIT 20 files · 12 scripts body ≈ 3 940 tokens Open the sourcegithub.com↗ analyzed 2 d ago

A powerful skill to control Open Code CLI via a local web server API.

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, consistency

IntegrationInfrastructureAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
99
Quality 40%
83
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
When it triggers w 12
20
Running it twice w 4
30
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 Dangerous commands cmd-background-process scripts/start_server.sh:34
      Starts a background / autostarted process
      nohup script -q -c "$OPENCODE_BIN web --port $PORT" /dev/null > "$LOG_FILE" 2>&1 &

    Files scanned: 20. 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 "emoji"

    Process rating: all ten parameters 51/100

    • 0Result and completion. Does not say what the result is
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 16 mutating operations with no state check
    • 40Consistency. Frontmatter name (OpenCode-CLI-Controller) differs from the folder (opencode-api-control-skill)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 50 steps, 3 vague phrases
    • 100Execution cost. Instruction body is 3940 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 21 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)
    • +3Output format is not stated: the model decides each time
    • -217 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +3Description length 177: enough signal without eating the budget
    • +4Structure: 41 headings
    • +3Step-by-step instructions: 50 items
    • +4Has examples (32 code blocks)
    • +4Reference files are cited in the instructions (5 of 5)
    • +3All 12 scripts are documented

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