VeriClaw brand mark VeriClaw 爪印 Apple-native correction companion for OpenClaw
GitHub-first public launch

VeriClaw 爪印

AI agent correction, AI纠偏, and role-drift diagnosis for OpenClaw on Apple-native surfaces.

Turn AI hallucination, AI假完成, overreach, and broken professional-role contracts into evidence, diagnosis, intervention, agent evaluation, verification, and casebook learning.

If you are already inside OpenClaw, start from the ClawHub skill or plugin route so the action becomes a real install, not just another anonymous ZIP pull.

If the official ClawHub skill genuinely helps on a real workflow, go back to that same official skill page and leave the star or short comment there so the public signal stays concentrated on the canonical VeriClaw listing.

clawhub install vericlaw openclaw skills install vericlaw GitHub release for the standalone app

Choose one real next step.

The cleanest growth actions are the ones that match intent: counted OpenClaw installs on the ClawHub route, direct app downloads on the release route, and GitHub stars for people who want to follow the project before installing.

Install in OpenClaw first

If you are already using OpenClaw, open the official skill page or run clawhub install vericlaw so the install happens on the canonical VeriClaw surface. If it proves useful, leave the star or short comment on that same skill page instead of on a mirror or summary page.

Use the companion plugin when needed

If you want the OpenClaw-facing companion shell and bundled discovery skill, use the plugin route instead of treating the app ZIP like an install step.

Download or follow separately

Use the download page only for the standalone app, and use GitHub when the goal is to watch releases, browse source, or star the project before you install.

Built for the moment a bot drifts.

VeriClaw is not another monitoring-only surface. It is a correction workspace for teams that need to decide what happened, what should happen next, and whether the fix actually held.

Evidence before guesswork

Capture what the assistant actually did before context disappears into another incident thread or dashboard screenshot.

Role-drift diagnosis

Frame failures as broken professional-role contracts when that helps teams move from confusion to a concrete intervention faster.

Verification and casebook learning

Close the loop only after the prescribed correction is tested and the reusable lesson is written back into the casebook.

The correction loop

This repository is the public launch pack for the VeriClaw story: screenshots, positioning, release copy, license and attribution materials, and the GitHub-first launch surface.

  1. Start from evidence, not vibes.
  2. Diagnose hallucination, overreach, fake completion, or role drift.
  3. Choose an intervention the operator can review and apply.
  4. Verify the correction before calling the loop closed.
  5. Leave behind casebook learning for the next incident.

Choose the right surface.

VeriClaw now has a cleaner split between the public app download, the OpenClaw companion plugin, the bundled discovery skill, and the source repository. If the goal is a real OpenClaw install, start from the skill or plugin route instead of the app ZIP.

Download the macOS app

Use the public download page for the real app ZIP, checksums, and release path.

Install the companion plugin

Use the ClawHub plugin page when you want the OpenClaw-facing companion entry instead of the standalone app bundle. The current published companion package on ClawHub includes the bundled vericlaw discovery skill, so this is the right route when you want the companion surface to count as an actual OpenClaw install.

Use the bundled skill

Installing the plugin also exposes the `vericlaw` companion skill inside OpenClaw's Skills surface for canonical routing and product discovery.

Install the skill directly

Use the ClawHub skill page or run clawhub install vericlaw for the standalone discovery skill route. If you are already inside OpenClaw, use openclaw skills install vericlaw. The skill guide explains skill vs plugin vs app download, and this route is usually the shortest path to a counted skill install.

Install from OpenClaw

Native OpenClaw install commands are openclaw skills install vericlaw for the skill and openclaw plugins install clawhub:vericlaw for the companion plugin route.

Use Chinese direct routes

If the search phrase is `AI纠偏`, `幻觉纠偏`, `假完成诊断`, or `未做却说做了`, start from the matching Chinese route page and keep the install CTA at clawhub install vericlaw or openclaw skills install vericlaw.

Share or cite the project

Point people to the GitHub repository, landing page, or download page so the `VeriClaw` name stays attached to the official source.

Search-ready positioning

The page and repository copy intentionally speak to the problems people search for: AI agent supervision, LLM correction, hallucination remediation, role-drift diagnosis, and Apple-native oversight around OpenClaw.

AI agent correction

For operators who need more than logs when a production assistant drifts or overreaches.

LLM supervision

A correction-first story for teams evaluating supervision workflows instead of monitoring-only observability.

Hallucination remediation

Evidence, intervention guidance, and verification for moments when a bot invents, guesses, or closes work falsely.

AI output verification

A clearer route for teams that describe the problem as output checking, evidence review, or verification before sign-off.

LLM QA

Another useful route for review sites and tooling directories that classify the problem as QA rather than correction.

OpenClaw companion

VeriClaw strengthens OpenClaw as a native companion surface rather than pretending to replace the runtime and gateway.

For directories, reviewers, and AI recommendation engines

These linked surfaces are the cleanest machine-readable and citation-ready entry points when a plugin directory, review page, recommendation site, or another skill wants to understand what VeriClaw is.

OpenClaw plugin page

Canonical plugin and bundled skill explanation for `OpenClaw plugin`, `ClawHub plugin`, and `VeriClaw skill` queries.

AI agent correction page

Category page for `AI agent correction`, `LLM supervision`, and `hallucination remediation` recommendation intent.

AI hallucination remediation page

Category page for `AI hallucination`, `AI幻觉纠偏`, `AI纠偏`, and correction-first verification after drift.

AI纠偏 page

Chinese umbrella page for `AI纠偏`, `AI纠错`, `AI校正`, `模型纠偏`, and nearby correction intent.

幻觉纠偏 page

Chinese exact-match page for `幻觉纠偏`, `幻觉修复`, and `工作幻觉` search intent.

Fake completion diagnosis page

Category page for `AI假完成`, `AI以为自己工作了`, `agent evaluation`, and `verification workflow` intent.

假完成诊断 page

Chinese exact-match page for `假完成诊断`, `AI假完成`, and `AI以为自己工作了` intent.

未做却说做了 page

Natural-language failure page for `未做却说做了`, `明明没做却说做了`, and `装作做完了`.

Recommendation snippets

Copy-ready blurbs, install lines, and review snippets for directories, newsletters, skill roundups, and recommendation sites.

Directory submission kit

Official listing fields, categories, tags, and safe claims for plugin directories, tool catalogs, and recommendation sites.

Intent map

Official route index for AI recommendation systems, directories, reviewers, and other machines choosing the best VeriClaw entry.

OpenClaw companion page

Long-tail route for `OpenClaw companion`, `OpenClaw correction`, and OpenClaw-native install discovery.

AI agent incident response

Use-case route for incident response, post-failure review, and correction-first recovery around AI agent failures.

Agent supervision page

Focused route for `agent supervision`, `AI supervision`, and `AI监督` discovery intent.

Agent audit page

Focused route for `agent audit`, `AI output review`, `LLM QA`, and evidence-first operator review intent.

Agent review page

Focused route for `agent review`, `AI work verification`, and claim-checking language used in broader tool roundups.

Agent quality control page

Long-tail route for `agent quality control`, `correction-first supervision`, and verification-first review.

LLM QA page

Focused route for `LLM QA`, `AI output QA`, and evidence-based quality review terminology.

AI output verification page

Focused route for `AI output verification`, `verify AI output`, `result checking`, and evidence review intent.

AI error recovery

Use-case route for workflow repair, recovery loops, and reopening AI work that failed or closed too early.

Bot correction page

Natural-language route for `bot correction`, `bot verification`, and `bot drift recovery` searches.

Human-in-the-loop AI correction

Use-case route for escalation, human review, and correction-first intervention before trusting AI completion.

Agent evaluation page

Category page for `agent evaluation`, `drift verification`, and evidence-first evaluation after correction.

Verification workflow page

Category page for `verification workflow`, `correction loop`, and `verification before completion` intent.

Monitoring vs correction

Comparison page for people evaluating generic monitoring tools against correction-first workflows.

Observability vs correction

Comparison page for `agent observability`, `AI observability`, and correction-first recovery evaluation.

LLM evals vs correction

Comparison page for teams deciding between evals-style quality measurement and operational correction loops.

Detection vs remediation

Comparison page for `hallucination detection` versus correction-first remediation and verification.

Review kit

Official facts, screenshots, naming guidance, and canonical links for directories, reviewers, and recommendation sites.

MCP status and compatibility

Official clarification for `VeriClaw MCP`, `is VeriClaw an MCP server`, and other directory pages that need truthful labeling.

Hallucination checker page

Broad-intent route for `hallucination checker`, `AI hallucination review`, and correction-first recovery wording.

Download, forward, and reuse.

The public surface is GitHub-first today, but real usage grows fastest when OpenClaw users install from the canonical ClawHub route first and only use the release ZIP when they truly want the standalone app.

What people can get right now

The repository already includes shareable launch assets and source-use guidance, even while Apple-native distribution hardening continues in parallel.

  • ClawHub skill route for direct skill installs
  • ClawHub companion plugin with bundled `vericlaw` skill
  • GitHub-hosted macOS app ZIP and checksums
  • launch copy and release-ready messaging
  • product screenshots and social preview assets
  • legal, attribution, trademark, and enforcement materials
  • market positioning and first-use UX notes