SKILLEMALL.ai
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AC agentic_cli_coding

Use this skill for any task that involves reading, understanding, searching, or modifying source code in a project — across JavaScript, TypeScript, Vue, React, Node, Python, Go, Ruby, PHP, Java, Rust, C/C++, shell scripts, JSON, YAML, HTML, CSS, SQL, and Markdown. Trigger whenever the user asks to fix a bug, add a feature, refactor, rename, restructure, search a codebase, locate a function or symbol, apply a patch, modify configuration, or make any multi-file change. Also use when the user references files by path or name and wants something done to them, when reviewing or auditing code, or when planning an edit before making it. Provides the `oce` command — a unified, validation-aware, transaction-capable editing toolkit that backs up every change and rolls back on syntax failure. Prefer `oce` over raw sed/awk/perl-i for any persistent edit; those are read-only here.

ClawHub Agent Skills author: EncryptShawn v1.0.0 MIT-0 62 files · 20 scripts body ≈ 3 348 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 64/100 · Has gaps — weak spots: inputs and preconditions, consistency, running it twice

AnalyzerSoftware 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
90/100
safety, quality, tests
Safety 60%
99
Quality 40%
76
Run on models
none yet
Process rating
C
64/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
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-autorun-instruction scripts/lib/common.sh:3
      Instructs the agent to auto-run a script on every session (code comment)
      # Always source paths.sh BEFORE this file in the calling script.
      comment

    Files scanned: 29. 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)

    Process rating: all ten parameters 64/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 6 mutating operations with no state check
    • 40Consistency. Frontmatter name (agentic_cli_coding) differs from the folder (agentic-cli-coding)
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 85Steps. 9 steps, 1 vague phrases
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 4 branches, has a failure section
    • 100Execution cost. Instruction body is 3348 tokens
    • low 12 top-level sections: this looks like several domains in one skill
    • low The response is described with custom markup (6 tags): a typed call is more reliable

    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 880: 120–800 characters recommended
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • -316 of 18 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +4Structure: 22 headings
    • +3Step-by-step instructions: 9 items
    • +3Output format is stated explicitly
    • +4Has examples (14 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

    External checks

    ClawHub: suspicious
    This is a real local code-editing toolkit, but it needs Review because it combines broad file-changing authority with under-disclosed install-time dependency execution and some unsafe shell command construction.
    LLM: suspicious (medium) · VirusTotal: · 29 May 2026