SKILLEMALL.ai
GitHub ↗ RU Sign in

FC OpenClaw iFlow Doctor

AI-powered auto-repair system for OpenClaw with iflow integration. Automatically diagnose and fix crashes, config errors, model issues. Falls back to iflow-helper when needed.

Not recommendedcritical or high security findings · low grade F
ClawHub Agent Skills author: kosei-echo v1.1.0 23 files · 1 script body ≈ 2 192 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructuretype 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
F
29/100
safety, quality, tests
Safety 60%
0
Quality 40%
73
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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.

Dangerous commands
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. 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 · 10

  • high Dangerous commands cmd-persistence INSTALL_GUIDE.md:128
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    Register-ScheduledTask -TaskName "OpenClaw iFlow Doctor" -Action $action -Trigger $trigger -Principal $principal -Description "OpenClaw self-healing watchdog"
  • high Dangerous commands cmd-persistence INSTALL_GUIDE.md:157
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    cat > ~/Library/LaunchAgents/com.openclaw.iflow-doctor.plist << 'EOF'
  • high Dangerous commands cmd-persistence INSTALL_GUIDE.md:185
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    launchctl load ~/Library/LaunchAgents/com.openclaw.iflow-doctor.plist
  • high Dangerous commands cmd-persistence INSTALL_GUIDE.md:198
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    launchctl unload ~/Library/LaunchAgents/com.openclaw.iflow-doctor.plist
  • high Dangerous commands cmd-persistence INSTALL_GUIDE.md:201
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    launchctl load ~/Library/LaunchAgents/com.openclaw.iflow-doctor.plist
Medium and low: 5
  • medium Dangerous commands cmd-privilege BUGFIX_STATUS.md:66
    Privilege escalation / world-writable permissions
    sudo cp openclaw-iflow-doctor.service /etc/systemd/system/
  • medium Dangerous commands cmd-privilege INSTALL_GUIDE.md:39
    Privilege escalation / world-writable permissions
    sudo cp openclaw-iflow-doctor.service /etc/systemd/system/
  • low Dangerous commands cmd-background-process BUGFIX_STATUS.md:72
    Starts a background / autostarted process
    sudo systemctl enable openclaw-iflow-doctor
  • low Dangerous commands cmd-background-process INSTALL_GUIDE.md:45
    Starts a background / autostarted process
    sudo systemctl enable openclaw-iflow-doctor
  • low Dangerous commands cmd-background-process install-systemd.sh:29
    Starts a background / autostarted process
    systemctl enable openclaw-iflow-doctor

Files scanned: 22. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • note frontmatter-key unknown frontmatter key "id"
  • note frontmatter-key unknown frontmatter key "changelog"

Process rating: all ten parameters 51/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (OpenClaw iFlow Doctor) differs from the folder (openclaw-iflow-doctor)
  • 100Tools and files. No external tools needed
  • 100Steps. 48 steps
  • 100Execution cost. Instruction body is 2192 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • low 12 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
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +3Description length 175: enough signal without eating the budget
  • +4Structure: 37 headings
  • +3Step-by-step instructions: 48 items
  • +4Has examples (19 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
This appears to be a real OpenClaw repair skill, but it can set up persistent watchdogs and create repair scripts that make high-impact system changes without strong approval safeguards.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026