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Convex Code Reviewer · get-convex | DecimalAI

code reviewby get-convex

Convex Code Reviewer

get-convex/convex-reviewer

Source get-convex/agent-skills ↗License Not recorded

Convex code reviewer — security, auth, validators, performance, and pattern checks for code in a convex/ directory. Use to review or audit Convex functions before shipping.

SkillScore87Maintained

Automatic

Coding pack

Last verified 8/28/2026

What it changes

Passed 20 of 23 test cases with the skill, and 16 of 23 without it.

Without skill70%

With skill87%

Checks it passed that the model alone missed

Flags the missing returns validator as an Important severity finding.
Flags the .filter() call in listComments as an Important severity finding.
Categorizes missing resource ownership checks as a Critical severity finding.

and 4 more in the full report

5 fixed15 passed either way2 still failing1 broke

Pass-rate lift: +17 pp
Tokens: +7%
Agent turns: 0%
Response time: -8%

Model gemini-3.6-flashMeasured 8/28/2026v120 of 23 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/get-convex-convex-reviewer/SKILL.md https://app.decimal.ai/s/get-convex-convex-reviewer/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add get-convex-convex-reviewer, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/get-convex-convex-reviewer/ and pins it in .decimal/skills.lock

decimalai skills add get-convex-convex-reviewer

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/get-convex-convex-reviewer/SKILL.md https://app.decimal.ai/s/get-convex-convex-reviewer/SKILL.md

Raw file: /s/get-convex-convex-reviewer/SKILL.md ↗ · machine-readable summary at /s/get-convex-convex-reviewer.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 5

Prompt

Conduct a systematic code review on this set of Convex backend functions. Follow a multi-stage review process checking security, performance, and code quality in order, grouping issues by severity level (Critical, Important, Suggestion). import { mutation, query } from "./_generated/server"; import { v } from "convex/values"; export const deleteComment = mutation({ args: { commentId: v.id("comments") }, returns: v.null(), handler: async (ctx, args) => { await ctx.db.delete(args.commentId); return null; }, }); export const listComments = query({ args: { postId: v.id("posts") }, returns: v.any(), handler: async (ctx, args) => { return await ctx.db.query("comments").filter((q) => q.eq(q.field("postId"), args.postId)).collect(); }, });

What was checked, without and with the skill
Checked	Without skill	With skill
Flags the unauthenticated mutation deleteComment as a Critical severity finding.	Missed	Passed
Flags the .filter() call in listComments as an Important severity finding.	Missed	Passed
Flags v.any() return validator in listComments as a validator type safety issue.	Missed	Passed

case-13 · gemini-3.6-flash · 8/28/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md21 linessingle file

Convex Code Reviewer

Structured review of Convex code for security, authorization, validators, performance, and schema design. Applies a Convex-specific checklist and flags anti-patterns with severity (Critical / Important / Suggestion).

Workflow

First pass — Security: verify all public functions check ctx.auth.getUserIdentity(), verify resource ownership before reads/writes, confirm no client-provided user IDs are trusted, confirm scheduled functions target internal.* not api.*.
Second pass — Performance: confirm no .filter() on DB queries (withIndex required), verify all foreign-key fields have indexes, confirm no Date.now() in query handlers, confirm .collect() is not used on unbounded queries.
Third pass — Code quality: confirm args and returns validators on every public function, no any types, promises are awaited, arrays in documents are bounded (<8192 elements).
Report findings grouped by severity; explain why each issue matters and suggest a fix.

Rules

Flag missing auth checks as Critical — any unauthenticated public mutation is a data-loss risk.
Flag .filter() on DB queries as Important — it is a full table scan.
Flag Date.now() in query handlers as Important — it breaks reactivity.
Flag missing args or returns validators as Important.
Flag scheduling to api.* (not internal.*) as Important.
Always explain why a change is needed, not just what to change.

Track record

Benchmark

20 / 23

test cases passed, vs 16 / 23 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/7/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

get-convex / agent-skills

skills/convex-reviewer/SKILL.md

View on GitHub ↗

Imported 8/7/2026Version v1

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See it in action

What's inside

Convex Code Reviewer

Workflow

Rules

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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