SKILLEMALL.ai

BC afrexai-api-architect

Design, build, test, document, and secure production-grade APIs. Covers the full lifecycle from schema design through deployment, monitoring, and versioning. Use when designing new APIs, reviewing existing ones, generating OpenAPI specs, building test suites, or debugging production issues.

ClawHub Agent Skills author: 1kalin v1.0.0 3 files body ≈ 6 676 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 60/100 · Has gaps — weak spots: result and completion, inputs and preconditions

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
96
Quality 40%
74
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
50
the three weakest of ten parameters · all ten

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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Exfiltration net-credential-use SKILL.md:507
    Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
    curl -s -o /dev/null -w "%{http_code}" -X DELETE -H "Authorization: Bearer $TOKEN" "$BASE/orders/$ORDER_ID"
    security skill
  • low Exfiltration net-credential-use SKILL.md:521
    Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
    curl -s -o /dev/null -w "DNS:%{time_namelookup} TCP:%{time_connect} TLS:%{time_appconnect} TTFB:%{time_starttransfer} Total:%{time_total}\n" -H "Authorization: Bearer $TOKEN" "$BASE/orders"
    security skill

A further 2 matches are quotations in this security skill's documentation and are not counted as findings.

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6676 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 60/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 70Execution cost. Instruction body is 6676 tokens
  • 100Steps. 26 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 12 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 291: enough signal without eating the budget
  • +4Structure: 49 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (23 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: clean
This is an instruction-only API development guide; its example curl commands can affect a real API if deliberately run, but the behavior is disclosed and purpose-aligned.
LLM: benign (high) · VirusTotal: suspicious · 28 May 2026