SKILLEMALL.ai

AC freeride

Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates openclaw.json. Use when the user mentions free AI, OpenRouter, model switching, rate limits, or wants to reduce AI costs.

ClawHub Agent Skills author: Shaishav Pidadi v1.0.11 MIT-0 8 files body ≈ 962 tokens Open the sourceclawhub.ai analyzed 2 d ago

Manages free AI models from OpenRouter for OpenClaw.

As a process C 62/100 · Has gaps — weak spots: result and completion, consistency, running it twice

ProcedureAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
99/100
safety, quality, tests
Safety 60%
97
Quality 40%
81
Run on models
98
Active model run: 92% with skill · 36% without
Process rating
C
62/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

The same skill appears in 8 more places: ClawHub, ClawHub, ClawHub, ClawHub, ClawHub, ClawHub, ClawHub, ClawHub

How to improve

    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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Dangerous commands cmd-background-process README.md:199
      Starts a background / autostarted process
      nohup freeride-watcher > ~/.openclaw/freeride-watcher.log 2>&1 &
    • low Exfiltration net-credential-use SKILL.md:28
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)
      1. **OPENROUTER_API_KEY is set.** Check with `echo $OPENROUTER_API_KEY`. If empty, the user must get a free key at https://openrouter.ai/keys and set it:
      vendor-hostquoted
    • low Dangerous commands cmd-background-process SKILL.md:99
      Starts a background / autostarted process
      nohup freeride-watcher > ~/.openclaw/freeride-watcher.log 2>&1 &

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

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "env"
    • note frontmatter-key unknown frontmatter key "network"
    • note frontmatter-key unknown frontmatter key "writes"
    • note frontmatter-key unknown frontmatter key "install"

    Process rating: all ten parameters 62/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (freeride) differs from the folder (free-ride)
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 5 steps
    • 100Failures and branches. 1 branches, has a failure section
    • 100Execution cost. Instruction body is 962 tokens
    • low The response is described with custom markup (3 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 271: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 5 items
    • +4Has examples (4 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    Model run · 7 Sept 2026

    With the skill
    92%
    +56 pp vs baseline
    Without the skill (baseline)
    36%
    triggers: +100% / −100%

    Active All thresholds met · 7 cases · $0.061

    External checks

    ClawHub: suspicious
    The skill mostly matches its purpose, but it handles an API key and changes OpenClaw behavior while using unsafe secret-check instructions, a persistent watcher, and an unpinned remote installer.
    LLM: suspicious (high) · VirusTotal: benign · 10 Sept 2026