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AC api_ingestion_connectors

Connect to external APIs and ingest data into graph-ready structures for ETL pipelines and knowledge graph construction.

ClawHub Hermes author: Muhammad Asif v1.0.0 MIT-0 6 files body ≈ 1 330 tokens Open the sourceclawhub.ai↗ analyzed 28 h ago

Connect to external APIs and ingest data into graph-ready structures for ETL pipelines and knowledge graph construction.

As a process C 62/100 · Has gaps — weak spots: when it triggers, consistency, running it twice

IntegrationData and analyticsSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
98
Quality 40%
77
Run on models
none yet
Process rating
C
62/100
Has gaps
When it triggers w 12
20
Running it twice w 4
30
Consistency w 8
40
the three weakest of ten parameters · all ten

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Obfuscation obf-base64-blob examples/example-connectors.md:160
    Long base64-looking blob (test fixture / example file; quoted — discussed, not commanded)
    "endCursor": "eyJk…In0"
    fixturequoted
  • low Secrets in code secret-password-literal references/connector-patterns.md:130
    Hard-coded password / key literal (may be an example) (placeholder value)
    X-API-Key: sk-1…def
    placeholder

Files scanned: 6. 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)
  • warning description-long-hermes description is 120 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • note frontmatter-key unknown frontmatter key "title"

Process rating: all ten parameters 62/100

  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (api_ingestion_connectors) differs from the folder (api-ingestion-connectors)
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 40 steps
  • 100Execution cost. Instruction body is 1330 tokens
  • 100Progress reporting. Reports progress
  • low 11 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)
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 120: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 40 items
  • +3Output format is stated explicitly
  • +4Has examples (14 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This skill is a straightforward API-ingestion helper; it handles credentials and external API data by design, with no evidence of hidden collection, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 7 Jun 2026