Configuring Horizon
coollabsio/coolify
A skill your agent uses whenever the user mentions Horizon by name in a Laravel context.
Prove a Convex feature works — seed, drive as multiple mocked users via convex-test, assert behavior including the negative authz cases (wrong user refused, data-scope enforced).
$ npx skills add openclaw/clawhub --skill convex-verify -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install openclaw/clawhub convex-verify --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/convex-verify .claude/skills/convex-verify && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "convex-verify" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-verify into .claude/skills/convex-verify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-verify", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-verifyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add openclaw/clawhub --skill convex-verify -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install openclaw/clawhub convex-verify --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/convex-verify .agents/skills/convex-verify && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "convex-verify" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-verify into .agents/skills/convex-verify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-verify", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add openclaw/clawhub --skill convex-verify -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install openclaw/clawhub convex-verify --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/convex-verify .cursor/skills/convex-verify && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "convex-verify" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-verify into .cursor/skills/convex-verify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-verify", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/openclaw/clawhub.git --path .agents/skills/convex-verify--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add openclaw/clawhub --skill convex-verify -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install openclaw/clawhub convex-verify --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/convex-verify .gemini/skills/convex-verify && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "convex-verify" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-verify into .gemini/skills/convex-verify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-verify", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install openclaw/clawhub convex-verifyInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add openclaw/clawhub --skill convex-verify -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/convex-verify .github/skills/convex-verify && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "convex-verify" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-verify into .github/skills/convex-verify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-verify", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add openclaw/clawhub --skill convex-verify -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install openclaw/clawhub convex-verify --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/convex-verify .opencode/skills/convex-verify && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "convex-verify" agent skill from https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-verify into .opencode/skills/convex-verify/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "convex-verify", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
convex-verifyProve a Convex feature works — seed, drive as multiple mocked users via convex-test, assert behavior including the negative authz cases (wrong user refused, data-scope enforced).
Convex Verify is an agent skill from openclaw/clawhub. Prove a Convex feature works — seed, drive as multiple mocked users via convex-test, assert behavior including the negative authz cases (wrong user refused, data-scope enforced).
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Backend & APIs, covering Authorization and RBAC. The repository describes itself as: Skill + Plugin Registry for OpenClaw. The licence is MIT.
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit c23e34a. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
npxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Convex Verify loads about 1.2k tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 664 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from openclaw/clawhub at commit c23e34a, republished under its MIT licence (© openclaw). 664 words, ~1,231 tokens.
.claude/skills/convex-verify/SKILL.md (or your agent's skills folder).<!-- GENERATED from convex-agents content/capabilities/convex-verify.json — do not edit by hand. -->
A green typecheck proves the code parses; it does not prove a non-owner is actually denied, that a query returns the right rows, or that a mutation has the effect it claims. This capability closes that gap with the loop the whole field is missing: seed → drive → assert, run in-process with convex-test so it needs no deployment. Its highest-value assertions are the NEGATIVE ones — the caller who should be refused — because those are exactly the authz defects the 30-app corpus shows are the #1 real bug and the ones a happy-path demo never catches.
convex-test: ensure convex-test + vitest are dev deps AND a vitest.config.ts sets test.environment: "edge-runtime" with server.deps.inline: ["convex-test"] — WITHOUT that config, convexTest(schema) fails at runtime with import.meta.glob is not a function (verified). Also install @edge-runtime/vm. Then convexTest(schema) gives a t handle. Reuse the project's existing test setup if present (compose with the test capability, don't fork it).t.run(async (ctx) => ctx.db.insert(...)) for fixtures the public API can't create. Seed at least: the caller's own rows AND a second user's rows, so cross-user access is testable.t.withIdentity({ subject, tokenIdentifier, ... }): call the function as (a) the legitimate owner, (b) a different authenticated user, and (c) unauthenticated (t with no identity). Use the real identity shape the app's auth uses (subject/tokenIdentifier), matching how ownership is resolved.expect(await t.withIdentity(owner).query(api.x.y, args)).toEqual(...)).await expect(t.withIdentity(other).mutation(api.x.cancel, {id})).rejects.toThrow(/forbidden|not authorized|403/) — and an unauthenticated caller is refused where auth is required. A feature is not proven until the wrong caller is shown to be blocked.npx vitest run) and report: what was proven (each positive + negative assertion that passed), and — critically — any assertion that FAILED, because a failed negative assertion is a real authz hole found before ship. Emit findings on the bus (specs/finding.schema.json, class authz/correctness, evidence kind probe-result with the exact failing call) for anything that didn't behave.test capability's setup rather than forking it.test capability.© openclaw, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/convex-verify of openclaw/clawhub.
Open the folder on GitHubat commit c23e34a
Convex Verify next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Convex Verify this skillopenclaw/clawhub | 9.5k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Configuring Horizoncoollabsio/coolify | 63k | 4 repos | ~898 | Automated safety check: Pass | MIT | |
| K8s Security PoliciesCybereason-Public/owLSM | 280 | 12 repos | ~2k | Automated safety check: Pass | GPL-2.0 | |
| Payloadpayloadcms/payload | 45k | 5 repos | ~6.2k | Automated safety check: Pass | MIT | |
| Convex Setup Authspokvulcan/poker-planning | 114 | 8 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Abp Authorizationabpframework/abp | 14k | — | ~1.3k | Automated safety check: Pass | LGPL-3.0 |
coollabsio/coolify
A skill your agent uses whenever the user mentions Horizon by name in a Laravel context.
Cybereason-Public/owLSM
Comprehensive guide for implementing NetworkPolicy, PodSecurityPolicy, RBAC, and Pod Security Standards in Kubernetes.
payloadcms/payload
A skill your agent uses when working with Payload projects (payload.config.ts, collections, fields, hooks, access control, Payload API).
spokvulcan/poker-planning
Sets up Convex auth, identity mapping, and access control. An agent skill from spokvulcan/poker-planning.
abpframework/abp
ABP permission system - PermissionDefinitionProvider, [Authorize] attribute, CheckPolicyAsync, IsGrantedAsync, ICurrentUser, IPermissionManager, multi-tenancy side.
bagofwords1/bagofwords
Exhaustively audit the UI control by control and role by role — enumerate every button, link, and input on a set of pages, write down what each is supposed to do (derived from the handler code and…
openclaw/clawhub
Creates and manages Axiom monitors and notifiers end to end through the v2 API, with scripts for each CRUD operation and a recommended create-validate-tune workflow.
openclaw/clawhub
Designs and deploys Axiom dashboards through the API, choosing chart types and writing APL or metrics queries, with templates and migration notes for Splunk and Grafana.
openclaw/clawhub
Finds unused data in Axiom by analyzing query patterns, then deploys a cost dashboard and ingest monitors to keep spend under the contract limit.
openclaw/clawhub
Explores and queries OpenTelemetry metrics in Axiom MetricsDB, listing datasets, metrics and tags first and picking the right aggregation for each metric's type.
openclaw/clawhub
Investigates incidents and production problems with hypothesis-driven debugging, queries Axiom observability data when available, and keeps secrets out of commands and output.
openclaw/clawhub
Scaffolds evaluation suites for the Axiom AI SDK: eval files, scorers, flag schemas and axiom.config.ts, generated from plain descriptions of an AI capability.
Categories
Prove a Convex feature works — seed, drive as multiple mocked users via convex-test, assert behavior including the negative authz cases (wrong user refused, data-scope enforced). Convex Verify is an agent skill from openclaw/clawhub. Prove a Convex feature works — seed, drive as multiple mocked users via convex-test, assert behavior including the negative authz cases (wrong user refused, data-scope enforced).
Convex Verify fits situations like: tasks that involve Authorization and RBAC.
Run `npx skills add openclaw/clawhub --skill convex-verify -a claude-code`. Or copy the skill folder (.agents/skills/convex-verify in openclaw/clawhub) into .claude/skills/convex-verify in your project. Claude Code loads it when a task matches its description.
Run `npx skills add openclaw/clawhub --skill convex-verify -a codex`. Or copy the skill folder (.agents/skills/convex-verify in openclaw/clawhub) into .agents/skills/convex-verify in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add openclaw/clawhub --skill convex-verify -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/convex-verify, .gemini/skills/convex-verify, .github/skills/convex-verify and .opencode/skills/convex-verify in your project.
Going by SKILL.md and its folder, Convex Verify needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Convex Verify is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Convex Verify: Configuring Horizon (coollabsio/coolify, 63k stars), K8s Security Policies (Cybereason-Public/owLSM, 280 stars), Payload (payloadcms/payload, 45k stars) and Convex Setup Auth (spokvulcan/poker-planning, 114 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
openclaw (a GitHub organization) maintains it in openclaw/clawhub, which has 9,495 GitHub stars. The repository holds 56 skills in this directory. The repository was last updated on October 7, 2026.
Source: openclaw/clawhub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.