Backend Code ReviewCAUTION
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
Overview
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
449bad66f8e8OBSERVED · 2026-10-20What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: backend-code-review description: Use only when the user explicitly requests a review or audit of backend code under `api/`. Supports pending-change, file-focused, and pasted-diff reviews. Do not use for implementation-only requests, diagnosis without review intent, frontend code, or backend code outside `api/`. --- # Backend Code Review Review the requested scope for concrete, reproducible defects. The nearest `AGENTS.md` owns package facts and commands; this skill owns the review workflow and routes to its bundled rule packs. ## Evidence First 1. Establish the requested review scope and inspect the relevant diff or files. 2. Read the changed lines, their behavior owner, nearby tests, and local docstrings or comments that define contracts. 3. Trace callers, persistence boundaries, authorization, generated schemas, or external I/O only when they decide correctness. 4. Report only findings tied to an observable failure, violated contract, security boundary, data integrity risk, or demonstrated maintenance problem. ## Rule Routing Read only the packs matched by the diff: - Models or migrations: [`references/db-schema-rule.md`][db-schema] - Controller, service, core/domain, library, or model dependency direction: [`references/architecture-rule.md`][architecture] - Table access outside an established repository boundary: [`references/repositories-rule.md`][repositories] - SQLAlchemy sessions, queries, transactions, CRUD, concurrency, or raw SQL: [`references/sqlalchemy-rule.md`][sqlalchemy] When no pack applies, review correctness, security, behavior changes, and test evidence directly. Check current official documentation only when local code and contracts do not settle framework or library behavior. ## Severity And Output - **P0**: security or privacy exposure, data loss, or a production-wide outage. - **P1**: user-visible regression, broken authorization or tenant isolation, invalid public contract, or failed primary workflow. - **P2**: concrete correctness, performance, maintainability, or test defect likely to cause incorrect behavior. - **P3**: minor actionable cleanup; omit unless the user requested a thorough audit. Lead with findings ordered by severity. Include a tight file and line reference, the failing contract or reproduction path, impact, and a concrete fix direction. If there are no findings, say `No issues found.` and state any material verification gap. Do not add praise sections, speculative risks, or an unsolicited offer to implement fixes. [architecture]: references/architecture-rule.md [db-schema]: references/db-schema-rule.md [repositories]: references/repositories-rule.md [sqlalchemy]: references/sqlalchemy-rule.md
Trust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (5)
.claude/skills/backend-code-review
.claude/skills/e2e-cucumber-playwright
.claude/skills/frontend-code-review
.claude/skills/frontend-testing
.claude/skills/how-to-write-component
Gates applied: no_behavioural_pass.
449bad66f8e8full audit observations/trust-audit/skill/langgenius__backend-code-review.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-20 | 449bad66f8e8 | CAUTION | B | 89 | first audit |
Questions
What does the backend-code-review — langgenius/dify skill do?
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
Is backend-code-review — langgenius/dify safe to install?
With care. The audit graded it B (89/100) and found 5 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can backend-code-review — langgenius/dify access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (449bad66f8e8), read on 2026-10-20. The repository is watched, and a new audit runs when it changes — this is the first audit.
Add this badge to your README
Shows this page's audit result and links back to it. It updates when the audit does.
[](https://modelsatlas.com/skills/langgenius/backend-code-review/)
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