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AF dub-links-api

Integrates Dub Links API endpoints to create, update, delete, retrieve, list, count, and run bulk operations on short links. Use when the user asks for "dub links api", "create link dub", "upsert link dub", "list links", "count links", "bulk links", or lookups by linkId/domain+key/externalId.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 1 539 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Integrates Dub Links API endpoints to create, update, delete, retrieve, list, count, and run bulk operations on short links.

As a process F 53/100 · Will not run — References files that are not bundled: references/openapi-spec.json

IntegrationData and analyticsAI and agentsWriting and documentstype 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
94/100
safety, quality, tests
Safety 60%
99
Quality 40%
86
Run on models
none yet
Process rating
F
53/100
Will not run
References files that are not bundled: references/openapi-spec.json
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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 Exfiltration net-credential-use SKILL.md:36
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    - `curl -s -H "Authorization: Bearer $DUB_API_KEY" "https://api.dub.co/links/count" | jq '.'`
    quoted

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/openapi-spec.json

Process rating: all ten parameters 53/100

Will not run. References files that are not bundled: references/openapi-spec.json
  • 0Tools and files. 1 referenced file(s) missing: references/openapi-spec.json
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 17 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 85Steps. 80 steps, 1 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1539 tokens

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +3Description length 293: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 80 items
  • +3Output format is stated explicitly
  • +4Has examples (10 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.