OpenClaw
Deploy a managed OpenClaw agent in 60 seconds
Launch on Hostinger →
Hermes Agent
Run your Hermes agent, fully managed
Launch on Hostinger →
Apify
6,000+ web scrapers for your agent, free to start
Try Apify free →
Firecrawl
Crawl and scrape any site into clean data
Try Firecrawl free →
Context.dev
One API to scrape, enrich, and extract the web
Start building free →
SetupClaw
Done-for-you OpenClaw for founders and teams
Get it set up for you →
DataForSEO
SEO data APIs for your agent, $1 free credit
Try DataForSEO free →
Your product here
Reach thousands of AI builders a month
Learn more →
Claude Market
Menu
SkillsMCPPluginsSubmit MCPSkillPluginMCPMCP, plugin, or skillAdvertise
Claude Market
SkillsMCPPluginsSubmit MCPSkillPluginMCPMCP, plugin, or skillAdvertise
Skills/get-convex/agent-skills/convex-authz
convex-authz logo

convex-authz

get-convex/agent-skills
960 installs42 stars
Run it on Hostinger, 20% off →Your friend gets 20% off too, using this linkFree API →|Command ExecutionPrompt Injection|View on GitHub|Create your own skill →

Installation

npx skills add https://github.com/get-convex/agent-skills --skill convex-authz

Summary

Audit and harden Convex authorization: identity-from-arg impersonation, missing per-document ownership checks, PII-leaking public queries, and writes into containers the caller doesn't own. Deterministic scan + canonical requireIdentity/requireOwner fix + tsc verify. Use for 'secure my app' / 'audit auth' / 'who can access this data', not generic code review.

SKILL.md

<!-- GENERATED from convex-agents content/capabilities/convex-authz.json — do not edit by hand. -->

Convex Authz Auditor/Hardener

A focused authz specialist, not a general reviewer: it finds and fixes the four shapes that account for the largest real-defect cluster measured against generated Convex backends (25 identity-from-arg + 13 missing-ownership-check + 6 PII-leak-by-argument = 44 of 214 confirmed defects, plus the parent-reference-on-write variant of the ownership shape that fixture measurement showed the 3-shape scan misses). It runs a deterministic scan first (objective, regex-based, mirrors the convex-backend-skill v1.7.9 lint advisory), then applies the canonical requireIdentity/requireOwner hardening pattern from convex-expert.md to every hit, then verifies with tsc. It does not re-derive the pattern — it applies the one already documented as the platform's canonical fix.

Workflow

  1. MANDATORY FIRST STEP — check the auth foundation exists before injecting any ctx.auth enforcement: (1) is there an auth.config.ts with a provider? (2) is there a users/identities table keyed to the auth subject (tokenIdentifier/identity.subject)? If EITHER is missing, DO NOT add requireIdentity/requireOwner — on a foundationless app ctx.auth.getUserIdentity() always returns null (enforcement is non-functional: every call 401s, or worse, the check is bypassed/miscompared against a non-subject field like an email string) and a reviewer correctly flags that as a NEW authz defect, not a fix. Instead, on a foundationless app: (a) for privileged/admin operations, convert the public query/mutation to internalQuery/internalMutation (removes public reachability entirely — safe and foundation-free, no ctx.auth needed), and (b) tell the user: 'this app has no auth foundation; run /add auth or the auth setup first, then re-run convex-authz to add per-user ownership checks.' Do not run steps 1-3 below against public functions on a foundationless app beyond this internalize-and-defer move. Only when the foundation exists (both auth.config.ts and a subject-keyed users table are present) do you proceed to inject requireIdentity/requireOwner in steps 1-3.
  2. SCAN (deterministic, objective-first): for every convex/*/.ts file (skip convex/_generated/ and .d.ts), grep for the four shapes:

(a) identity-from-arg: a public query(/mutation( object whose args block declares userId/actorId/ownerId/authorId/accountId typed v.id(...), where the function's whole block (args + handler) has zero ctx.auth reference. Regex: /\b(userId|actorId|ownerId|authorId|accountId)\s:\sv\.id\(/ inside an args: { ... } block paired with an absent /\bctx\.auth\b/ anywhere in the enclosing (query|mutation)\(\s*\{ ... } block (word-boundary excludes internalQuery/internalMutation by construction). (b) missing-ownership-check: a public query(/mutation( whose handler loads a document via ctx.db.get(args.<xId>) (an _id-typed arg) and then calls ctx.db.patch/ctx.db.delete/ctx.db.replace on that same id, or returns the doc's fields directly, with no comparison of any <doc>.<ownerField> against an identity value anywhere in the block (no ===/!== involving identity.subject or a ctx.auth derived value). (c) PII-leaking public query: a public query( whose returns (or the raw doc it returns) includes a sensitive-looking field (email, revenue, ssn, password, token, auditLog, dashboard-shaped aggregate) and the query is parameterized by a client-supplied id with no ctx.auth check gating access to that id's own scope. (d) parent-reference ownership on write: a public mutation( whose args include a v.id(...) of a parent/container table (projectId, boardId, teamId, orgId, listId, folderId, conversationId, accountId, ...) that the handler uses as a foreign key in a ctx.db.insert/ctx.db.patch — attaching or moving a child row into that container — without verifying the caller owns (or is a member of) the referenced parent doc. Creating a row inside someone else's container is the same defect as mutating their row: fixing WHO the caller is (shape a) does not fix WHERE they may write. After handling shapes a-c, re-audit every REMAINING v.id(...) arg in every public mutation for this shape — shape-a fixes routinely leave the parent id arg behind, still unchecked. Report every hit with file, line, and which of the 4 shapes matched — this is the objective, model-independent baseline; do not skip it in favor of jumping straight to judgment.

  1. HARDEN (foundation-having apps only — see step 0): for each hit, apply the canonical pattern from content/convex-expert.md verbatim — do not invent a new helper. Add (if absent) convex/model/auth.ts exporting requireIdentity(ctx) (throws 401 if ctx.auth.getUserIdentity() is null; returns the identity) and requireOwner(ctx, doc) (throws 404 if doc is null, throws 403 if doc.ownerId !== identity.subject, else returns doc). Rewrite each flagged function: replace the client-supplied identity arg with requireIdentity(ctx); wrap each _id-keyed read/mutate with requireOwner(ctx, await ctx.db.get(args.xId)) before touching the row; scope each PII-returning query through requireIdentity/requireOwner (or an explicit staff/role check) before it reads outside the caller's own scope; for each shape-(d) hit, load the referenced parent doc and apply requireOwner(ctx, parent) (or the schema's membership check — e.g. participantIds.includes(user._id) — when the container models members as an array) BEFORE inserting/patching the child row. When the schema keys ownership by a users row id rather than the raw subject, resolve the caller's users row first (via the subject-keyed index) and compare against user._id — comparing an Id<"users"> field to identity.subject never matches and silently breaks enforcement. Never widen scope — an internal/admin function that legitimately operates on an arbitrary user stays internalQuery/internalMutation, never public; leave it unflagged and unchanged.
  2. VERIFY: run npx tsc --noEmit (or the project's typecheck script) after edits; a hardening pass that doesn't typecheck is not done. Then re-run the step-1 scan to confirm 0 remaining hits (the fixed shapes no longer match the regexes because ctx.auth now appears in-block and ownership comparisons now exist).
  3. Report findings grouped by the 4 rule shapes with file:line, explain why each is exploitable (who could impersonate whom / read whose data), and show the concrete diff applied (or, on a foundationless app, the internalize-and-defer diff plus the auth-setup nudge) — never just describe the fix in prose.

Rules

  • MANDATORY FIRST STEP: before injecting requireIdentity/requireOwner, verify the auth foundation exists — an auth.config.ts with a provider AND a users/identities table keyed to the auth subject. If either is missing, do not add ctx.auth-based enforcement (it's non-functional or mismatched and creates a NEW authz defect); instead convert flagged public admin/privileged functions to internalQuery/internalMutation and tell the user to run auth setup first, then re-run convex-authz.
  • Scan objectively before judging — run the 4 deterministic greps first; don't skip straight to LLM judgment, and don't let a clean scan stop you from still eyeballing internal/admin exemptions.
  • Identity always comes from ctx.auth, never from a client-supplied argument — the one legitimate exception is an internalQuery/internalMutation/internalAction that is never exposed publicly.
  • Every read or mutate keyed by an _id argument must verify ownership server-side (requireOwner or an inlined equivalent comparison) before touching the row — being logged in is not the same as owning this row.
  • Any v.id(...) argument a public mutation uses as a foreign key when inserting or moving a row must have the referenced parent's ownership (or membership) verified against the caller first — creating a child row inside someone else's project/board/account is the same defect as mutating their row, and it survives an identity-from-arg fix unless checked separately.
  • Never leave a public query that returns PII/financial/audit data reachable by an unauthenticated or cross-account client-supplied id.
  • Reuse requireIdentity/requireOwner from content/convex-expert.md verbatim — do not fork a parallel helper or invent new error semantics.
  • Always verify with tsc after hardening; a fix that doesn't typecheck is not shipped.
  • This is a targeted authz pass, not a general code review — do not expand scope into performance/schema/validator findings; hand those to convex-reviewer.
  • SKIP entirely when there is no convex/ directory in the project.

Score

0–100
63/ 100

Grade

C

Popularity15/30

960 installs — growing adoption.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Convex Authz skill score badge previewScore badge

Markdown

[![Convex Authz skill](https://www.claudemarket.ai/skills/get-convex/agent-skills/convex-authz/badges/score.svg)](https://www.claudemarket.ai/skills/get-convex/agent-skills/convex-authz)

HTML

<a href="https://www.claudemarket.ai/skills/get-convex/agent-skills/convex-authz"><img src="https://www.claudemarket.ai/skills/get-convex/agent-skills/convex-authz/badges/score.svg" alt="Convex Authz skill"/></a>

Convex Authz FAQ

How do I install the Convex Authz skill?

Run “npx skills add https://github.com/get-convex/agent-skills --skill convex-authz” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Convex Authz skill do?

Audit and harden Convex authorization: identity-from-arg impersonation, missing per-document ownership checks, PII-leaking public queries, and writes into containers the caller doesn't own. Deterministic scan + canonical requireIdentity/requireOwner fix + tsc verify. Use for 'secure my app' / 'audit auth' / 'who can access this data', not generic code review. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Convex Authz skill free?

Yes. Convex Authz is a free, open-source skill published from get-convex/agent-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Convex Authz work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Convex Authz works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

Recommended skills

Browse all →
convex-quickstart logo

convex-quickstart

get-convex/agent-skills

97K installsInstall
convex-create-component logo

convex-create-component

get-convex/agent-skills

97K installsInstall
convex-performance-audit logo

convex-performance-audit

get-convex/agent-skills

94K installsInstall
convex-setup-auth logo

convex-setup-auth

get-convex/agent-skills

94K installsInstall
convex-migration-helper logo

convex-migration-helper

get-convex/agent-skills

94K installsInstall
find-skills logo

find-skills

vercel-labs/skills

2.8M installsInstall

Related guides

Hand-picked reading to help you choose, install, and use agent skills.

GuideBest Code Review SkillsGuideBest Security Skills For AI AgentsGuideBest Documentation Skills For AI Agents

Skills by category

FrontendBackend & APIsTesting & QASecurityDevOps & CI/CDMCP & ToolingAutomationData & Analysis+20 more

MCP servers by category

AI & MLDeveloper ToolsVector & MemoryFiles & DocsDatabasesFinance & PaymentsBrowser & ScrapingCommunication+8 more

Plugins by category

developmentproductivitycommunicationdesignsecuritydatabaseworkflowcompliance+34 more

The Agent Stack

Weekly Claude Code, Agent SDK, and MCP moves worth your time — free.

Claude Market

AI agent skills directory, marketplace, and workflow hub for OpenClaw, Hermes Agent, Claude Code, Codex, and MCP-powered operator stacks.

Independent project, not affiliated with Anthropic.

Resources

  • Browse Skills
  • Browse MCP Servers
  • Browse Plugins

More

  • Submit a Tool
  • Create a Skill
  • Advertise
  • Free Tools
  • API
  • Shipping
  • Contact
  • Terms
  • Privacy
© 2026 Claude Market · Not affiliated with Anthropic
Fazier badgeFeatured on Twelve ToolsFeatured on Wired BusinessRemote OpenClaw - Featured on AI Agents DirectoryListed on Turbo0Featured on Uneed