SKILLEMALL.ai

BF foxcode-openclaw

Configure and manage Foxcode AI models in OpenClaw. Guides users through API setup, endpoint selection, primary/fallback model configuration, and status monitoring. Optimized for beginners with psychology-backed teaching approach.

ClawHub Hermes author: clarezoe v1.2.6 MIT-0 8 files body ≈ 2 292 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 46/100 · Will not run — References files that are not bundled: assets/templates/setup-checklist.md

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
95
Quality 40%
68
Run on models
none yet
Process rating
F
46/100
Will not run
References files that are not bundled: assets/templates/setup-checklist.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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands 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 skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
  3. 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
  • medium Dangerous commands cmd-shell-rc references/openclaw-config.md:278
    Writes to a shell startup file
    echo 'export FOXCODE_API_TOKEN="sk-foxcode-your-token"' >> ~/.zshrc

Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 230 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • warning missing-ref reference to a missing file: assets/templates/setup-checklist.md

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: assets/templates/setup-checklist.md
  • 0Tools and files. 1 referenced file(s) missing: assets/templates/setup-checklist.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
  • 60Consistency. The Hermes dialect needs category and tags
  • 70When it triggers. States when to use, but not when not to
  • 85Steps. 83 steps, 1 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Execution cost. Instruction body is 2292 tokens
  • 100Running it twice. Mutating operations check current state
  • low 14 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)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 230: enough signal without eating the budget
  • +4Structure: 32 headings
  • +3Step-by-step instructions: 83 items
  • +4Has examples (13 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 3 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
The skill mostly does what it says, but it handles API tokens and rewrites OpenClaw configuration in ways users should review carefully before installing.
LLM: suspicious (high) · 9 Jun 2026