SKILLEMALL.ai

AF opencli-adapter-author

Use when writing an OpenCLI adapter for a new site or adding a new command to an existing site. Guides end-to-end from first recon through field decoding, adapter coding, and verify. Replaces opencli-oneshot / opencli-explorer. For ad-hoc browser driving (no adapter), see opencli-browser instead; for a top-level orientation to opencli, see opencli-usage.

ClawHub Agent Skills author: chang v1.0.0 MIT-0 15 files body ≈ 1 980 tokens Open the sourceclawhub.ai analyzed 2 d ago

Guides end-to-end from first recon through field decoding, adapter coding, and verify.

As a process F 40/100 · Will not run — References files that are not bundled: references/site-memory/<site>.md

GeneratorSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: references/site-memory/<site>.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: 15. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/site-memory/<site>.md

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: references/site-memory/<site>.md
  • 0Tools and files. 1 referenced file(s) missing: references/site-memory/<site>.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
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 12 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1980 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (7 tags): a typed call is more reliable

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 356: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 12 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (9 of 9)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

External checks

ClawHub: suspicious
This is a legitimate adapter-writing guide, but it asks agents to inspect and reuse live browser cookies/tokens and intercept signed requests, so it needs review before installation.
LLM: suspicious (high) · VirusTotal: · 29 May 2026