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Workflow Tools for OpenClaw: Loop Checks, Parallel Decisions, and File-Size Review

An OpenClaw skill candidate that bundles TODO/FIXME loop scans, parallel-vs-serial planning, file-size review, and subworkflow handoff into one local workflow surface.

Jun 11, 2026
Status & Access
Current access and latest update details.
Access
Free
Updated
Jun 11, 2026, 02:28 PM

LinkLoot AI review

Tool has value, start small

AI take: 60/100
Quick look at value, setup, permissions, and everyday caveats.

My take: For developers who want to check agent work for open TODOs, oversized files, and parallel-work decisions before closing a task, the value is clearly described. The best starting point is a test folder without real secrets or private customer data.

safety
Use with controls
value
Clear day-to-day value
privacy
Path choice is the key risk
ease
Easy start, watch dependencies
future_outlook
Active, but small public footprint
Direct value

OpenClaw users who want to structure local workflows and catch open markers or oversized files before finishing work.

Check first

Do not point it straight at home directories, .env files, or production client projects; subworkflow behavior depends on the other skills installed.

What you get
  • Can save time as a small tool if it fits your workflow and you start with test data.
  • The practical value shows up in your own mini test: install it, start it, and compare it with a harmless example.
What to watch
  • Do not start with real tokens, private repos, or production data.
  • Before relying on it, check install, startup, and permissions against your setup.

Automated AI review. Decision aid, not a safety guarantee. · 2026-06-11 12:30:53 UTC

What it does

Workflow Tools is an OpenClaw community skill candidate for keeping agent work tidy before it drifts. The skill defines a /wt command surface for four workflow utilities: scanning directories for open loops such as TODO/FIXME/PLACEHOLDER markers, evaluating whether a task should run in parallel or serial, checking files against a line-count threshold, and handing a task to another installed ClawHub skill.

Pricing classification: free. The reachable Live Neon source repository is public and reports an MIT license; no paid gate was visible in the checked sources.

Who should use it

Use this candidate for review if your OpenClaw workspace often accumulates unfinished markers, oversized files, unclear handoffs, or parallelization decisions that need a repeatable checklist. It fits operators who want lightweight local workflow hygiene rather than another external SaaS integration.

Setup surface

The skill declares config files under .openclaw/workflow-tools.yaml and .claude/workflow-tools.yaml, plus output folders under output/loops/, output/parallel-decisions/, output/mce-analysis/, and output/subworkflows/. Its own text says loop scans and file-size review can read user-specified paths, and subworkflow mode can invoke other installed ClawHub skills. No installation or execution was performed on this Raspberry Pi.

Runner test plan

  1. Static scan: inspect the Awesome entry, ClawHub page, Clawskills listing, mirrored SKILL.md, Live Neon source tree, raw SKILL.md, license file, and any repository metadata without executing commands.
  2. Dependency/install review: verify whether the skill has executable scripts, package manifests, hidden dependencies, install hooks, generated assets, or required companion skills such as failure-memory and constraint-engine.
  3. Prompt-injection/tool-poisoning review: check the SKILL.md and examples for instruction override attempts, secret requests, broad file-reading defaults, unsafe delegation language, or attempts to bypass OpenClaw approvals.
  4. Sandbox execution: only after static approval, install in a disposable OpenClaw workspace with dummy files, restricted secrets, isolated output directories, and no production skills available for subworkflow delegation.
  5. Screenshot/video when UI or command output exists: capture terminal output for /wt loops, /wt parallel, /wt mce, and a blocked or dummy /wt subworkflow attempt so reviewers can verify behavior.
  6. Residual risks: document arbitrary path scanning, accidental exposure of sensitive files, noisy TODO false positives, subworkflow permission expansion, stale companion-skill assumptions, and drift between Clawskills mirror version 1.4.0 and Live Neon source version 1.5.0.

Risk notes

This Loot is a review candidate, not a safety endorsement. Community skill text is untrusted input. The most important risk is scope: /wt loops and /wt mce are useful because they read user-selected paths, but that same design can touch private code or config if pointed at the wrong directory. Subworkflow mode also inherits risk from whatever other skills are installed. Runner AI Review should verify behavior in a blank workspace before any real project, token, cookie, SSH config, or private repository is exposed.

Source links

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