SKILLEMALL.ai

CC link42-api

Use authorized LINK42 models for text, images, video, vision inputs and embeddings; upload owned assets, estimate cost and recover asynchronous tasks. Use for LINK42 API work, not account administration or unsupported model features.

Not recommendedcritical or high security findings
ClawHub Agent Skills author: Thomas v1.1.0 MIT-0 10 files · 3 scripts body ≈ 1 474 tokens Open the sourceclawhub.ai↗ analyzed 14 d ago

Use authorized LINK42 models for text, images, video, vision inputs and embeddings; upload owned assets, estimate cost and recover asynchronous tasks.

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, running it twice

IntegrationAI and agentsMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
C
81/100
safety, quality, tests
Safety 60%
77
Quality 40%
87
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Concealment
If you install

The skill tells the agent to hide things from you: not to show errors, not to mention actions, to report differently from what was done. You lose the ability to see what the agent really did.

For the author

Transparency beats a smooth answer. If the goal is to hide technical noise, ask the agent to "summarise briefly", not to "not mention".

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
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

  • high Concealment en-hide-from-user references/tool-integration.md:21
    Instruction to hide actions from the user
    International/domestic distribution changes download routing only, never the selected model/account, API credentials, currency or scope. A ClawHub/SkillHub command is advertised only after the exact p
Medium and low: 1
  • medium Exfiltration net-redirectable-api-key scripts/link42_agent.py:170
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment

Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

✓ No remarks against the Agent Skills spec

Process rating: all ten parameters 56/100

  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 10 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1474 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

  • +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 233: enough signal without eating the budget
  • +4Structure: 4 headings
  • +3Step-by-step instructions: 10 items
  • +4Reference files are cited in the instructions (4 of 4)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

External checks

ClawHub: clean
The skill is a disclosed LINK42 API helper that uses a user-provided key for model, media, asset, usage, and evaluation workflows with explicit safeguards around paid or mutating actions.
LLM: benign (high) · VirusTotal: · 2 Oct 2026