SKILLEMALL.ai
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Applies strict, modern language practice (typed errors, exhaustive match, tests that can fail) for Python, Rust, TypeScript, JavaScript, and Go. Use for work on .py, .rs, .ts, .js, or .go files, and whenever a test or spec file is written, reshaped, reviewed, or deleted: the four-question test authoring gate and the junk-test classes live here.

code-yeongyu/oh-my-openagent Agent Skills author: code-yeongyu NOASSERTION 80 files · 16 scripts body ≈ 8 311 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Applies strict, modern language practice (typed errors, exhaustive match, tests that can fail) for Python, Rust, TypeScript, JavaScript, and Go.

As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions, execution cost

AnalyzerSoftware 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
D
70/100
safety, quality, tests
Safety 60%
66
Quality 40%
75
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

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

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 14

✓ No critical or high findings

Medium and low: 14
  • medium Dangerous commands cmd-pipe-to-shell-known-host references/python/one-liners.md:37
    Pipe-to-shell installer from a well-known host (still executes remote code)
    #      curl -LsSf https://astral.sh/uv/install.sh | sh
  • medium Dangerous commands cmd-pipe-to-shell-known-host references/python/one-liners.md:76
    Pipe-to-shell installer from a well-known host (still executes remote code)
    #      curl -LsSf https://astral.sh/uv/install.sh | sh
  • medium Dangerous commands cmd-pipe-to-shell-known-host references/python/one-liners.md:130
    Pipe-to-shell installer from a well-known host (still executes remote code)
    # 1. Install uv: curl -LsSf https://astral.sh/uv/install.sh | sh
  • medium Dangerous commands cmd-pipe-to-shell-known-host references/python/one-liners.md:168
    Pipe-to-shell installer from a well-known host (still executes remote code)
    # 1. Install uv: curl -LsSf https://astral.sh/uv/install.sh | sh
  • medium Dangerous commands cmd-pipe-to-shell-known-host references/python/one-liners.md:207
    Pipe-to-shell installer from a well-known host (still executes remote code)
    # 1. Install uv: curl -LsSf https://astral.sh/uv/install.sh | sh
  • low Secrets in code secret-high-entropy-token references/go/backend-stack.md:609
    High-entropy token-like string (may be an id, hash or a credential)
    func Test…put(t *testing.T) {
  • low Secrets in code secret-high-entropy-token references/go/testing.md:175
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
    func Test…gin(t *testing.T) {
    fixture
  • low Dangerous commands cmd-pipe-to-shell-known-host scripts/go/new-project.ts:8
    Pipe-to-shell installer from a well-known host (still executes remote code) (code comment)
    * 1. Install Bun: curl -fsSL https://bun.sh/install | bash
    comment
  • low Dangerous commands cmd-pipe-to-shell-known-host scripts/python/new-project.ts:6
    Pipe-to-shell installer from a well-known host (still executes remote code) (code comment)
    * 1. Install Bun: curl -fsSL https://bun.sh/install | bash
    comment
  • low Dangerous commands cmd-pipe-to-shell-known-host scripts/python/new-project.ts:7
    Pipe-to-shell installer from a well-known host (still executes remote code) (code comment)
    * 2. Install uv:  curl -LsSf https://astral.sh/uv/install.sh | sh
    comment
  • low Dangerous commands cmd-pipe-to-shell-known-host scripts/python/new-project.ts:160
    Pipe-to-shell installer from a well-known host (still executes remote code) (string literal in code, not executed)
    `uv could not be started (${init.reason}); install it: curl -LsSf https://astral.sh/uv/install.sh | sh`,
    code literal
  • low Dangerous commands cmd-pipe-to-shell-known-host scripts/python/new-script.ts:8
    Pipe-to-shell installer from a well-known host (still executes remote code) (code comment)
    * 1. Install Bun: curl -fsSL https://bun.sh/install | bash
    comment
  • low Dangerous commands cmd-pipe-to-shell-known-host scripts/python/new-script.ts:87
    Pipe-to-shell installer from a well-known host (still executes remote code) (string literal in code, not executed; code comment)
    #      curl -LsSf https://astral.sh/uv/install.sh | sh
    code literalcomment
  • low Dangerous commands cmd-pipe-to-shell-known-host scripts/rust/new-project.ts:8
    Pipe-to-shell installer from a well-known host (still executes remote code) (code comment)
    * 1. Install Bun:  curl -fsSL https://bun.sh/install | bash
    comment

Files scanned: 80. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 8311 tokens (recommended < 5000); move details to references/
  • note edit-residue the text marks something as outdated (lines 172): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 58/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 21 mutating operations with no state check
  • 40Execution cost. Instruction body is 8311 tokens: crowds the task out of the window
  • 60Tools and files. Uses tools (web, python, node) that frontmatter does not declare
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 30 steps
  • 100Failures and branches. 4 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 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)
  • +3Output format is not stated: the model decides each time
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 346: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 30 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

In the sandbox The scripts kept to themselves

The skill's scripts were run in a throwaway machine: no network, fake keys in the home directory, a tracer watching. We wrote down what they did. Reaching for the network or for secrets caps the technical grade at C; a quiet run adds no points.

Запущено 11 скриптов; каждому дали двадцать секунд, поддельный домашний каталог с ключами и сеть, в которой ничего нет.

Из них 7 не дошли до работы, и об их поведении мы ничего не узнали.

scripts/go/check-no-excuse-rules.shне запустился: Usage: scripts/go/check-no-excuse-rules.sh <file.go> [file.go ...]
scripts/go/new-project.pyне запустился: ModuleNotFoundError: No module named 'typer'
scripts/python/check-no-excuse-rules.pyне запустился: usage: check-no-excuse-rules.py <file-or-dir>...
scripts/python/new-project.pyне запустился: ModuleNotFoundError: No module named 'typer'
scripts/python/new-script.pyне запустился: ModuleNotFoundError: No module named 'typer'
scripts/rust/check-no-excuse-rules.shне запустился: Usage: scripts/rust/check-no-excuse-rules.sh <file.rs> [file.rs ...]
scripts/rust/check-no-excuse-rules.test.tsничего за пределами своей папки
scripts/rust/new-project.pyне запустился: ModuleNotFoundError: No module named 'typer'
scripts/typescript/check-no-excuse-rules.test.tsничего за пределами своей папки
scripts/typescript/check-no-excuse-rules.tsничего за пределами своей папки
scripts/typescript/new-project.tsничего за пределами своей папки

26 Sept 2026