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BA claude-api

Build apps with the Claude API or Anthropic SDK. TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`/`claude_agent_sdk`, or user asks to use Claude API, Anthropic SDKs, or Agent SDK. DO NOT TRIGGER when: code imports `openai`/other AI SDK, general programming, or ML/data-science tasks.

sickn33/agentic-awesome-skills Agent Skills author: sickn33 MIT 27 files · 1 script body ≈ 3 618 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Build apps with the Claude API or Anthropic SDK.

As a process A 82/100 · Runs to the end — weak spots: running it twice, progress reporting

IntegrationAI and agentstype 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
93/100
safety, quality, tests
Safety 60%
95
Quality 40%
89
Run on models
none yet
Process rating
A
82/100
Runs to the end
Progress reporting w 2
0
Running it twice w 4
30
Tools and files w 18
60
the three weakest of ten parameters · all ten

The same skill appears in 2 more places: agentic-awesome-skills, agentic-awesome-skills

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
    • low Secrets in code secret-high-entropy-token python/claude-api/files-api.md:99
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      file_info = client.beta.files.retrieve_metadata("file…V8w")
      quoted
    • low Secrets in code secret-high-entropy-token python/claude-api/files-api.md:107
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      client.beta.files.delete("file…V8w")
      quoted
    • low Secrets in code secret-high-entropy-token python/claude-api/files-api.md:115
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      file_content = client.beta.files.download("file…V8w")
      quoted
    • low Secrets in code secret-high-entropy-token typescript/claude-api/files-api.md:86
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      await client.beta.files.delete("file…V8w", {
      quoted
    • low Secrets in code secret-high-entropy-token typescript/claude-api/files-api.md:95
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "file…V8w",
      quoted

    Files scanned: 26. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "risk"
    • note frontmatter-key unknown frontmatter key "source"
    • note frontmatter-key unknown frontmatter key "date_added"
    • note edit-residue the text marks something as outdated (lines 129, 137): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 82/100

    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 2 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 51 steps, 2 vague phrases
    • 100Result and completion. Output format and completion criterion are stated
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3618 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
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 293: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 51 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.