SKILLEMALL.ai

BF apidot-wan-2-7-video-api

Use APIDot for Wan 2.7 Video API workflows, including text-to-video API, image-to-video API, reference-to-video, edit-video, Wan 2.7, async task submission, task_id handling, polling, task status, webhook integration, and APIDot docs routing.

ClawHub Agent Skills author: jiehao71727 v1.0.2 MIT-0 3 files body ≈ 1 325 tokens Open the sourceclawhub.ai analyzed 2 d ago

Use APIDot for Wan 2.7 Video API workflows, including text-to-video API, image-to-video API, reference-to-video, edit-video, Wan 2.7, async task submission…

As a process F 51/100 · Will not run — References files that are not bundled: references/api.md

IntegrationGitHubMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
F
51/100
Will not run
References files that are not bundled: references/api.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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 · 0

✓ No critical or high findings

Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/api.md
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 51/100

Will not run. References files that are not bundled: references/api.md
  • 0Tools and files. 1 referenced file(s) missing: references/api.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 40 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1325 tokens
  • 100Running it twice. No mutating operations
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 242: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 40 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This is a documentation-only APIDot Wan 2.7 Video integration guide with disclosed API-key handling and no executable behavior.
LLM: benign (high) · VirusTotal: · 9 Jul 2026