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CC 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.

Not recommendedcritical or high security findings
ClawHub Agent Skills author: Shaishav Pidadi v1.0.11 MIT-0 8 files · 3 scripts body ≈ 962 tokens Open the sourceclawhub.ai↗ analyzed 6 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
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
79
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
This is a copy of a skill from another catalog; the rating counts the canonical one: freeride (ClawHub)

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.

Broad scope
If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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 · 4

  • high Broad scope meta-requests-env-secret SKILL.md:1
    Skill asks the runtime to inject credential env vars into its sandbox: OPENROUTER_API_KEY (high-value: OPENROUTER_API_KEY) — verify each one is needed for the stated purpose
    required_environment_variables: OPENROUTER_API_KEY
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

In the sandbox Скрипты не запустились

The skill's scripts were run in a throwaway machine: no network, fake keys in the home directory, a tracer watching. We wrote down what they did. Reaching for the network or for secrets caps the technical grade at C; a quiet run adds no points.

Запущено 3 скрипта; каждому дали двадцать секунд, поддельный домашний каталог с ключами и сеть, в которой ничего нет.

Ни один не дошёл до работы — им не хватило зависимостей, аргументов или файлов. Это не отзыв о поведении: наблюдать было не за чем.

main.pyне запустился: usage: freeride [-h] {list,switch,auto,status,refresh,fallbacks,rotate} ...
setup.pyне запустился: ModuleNotFoundError: No module named 'setuptools'
watcher.pyне запустился: Error: OPENROUTER_API_KEY not set

19 Sept 2026

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