Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/phuoctrung-ppt/ai-sdlc-workflow/backend-workergit clone --depth 1 https://github.com/phuoctrung-ppt/ai-sdlc-workflowWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/phuoctrung-ppt/ai-sdlc-workflow/backend-worker)<a href="https://agentmods.dev/agents/phuoctrung-ppt/ai-sdlc-workflow/backend-worker"><img src="https://agentmods.dev/badge/agents/phuoctrung-ppt/ai-sdlc-workflow/backend-worker.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00046 | $0.00924 |
| Opus 5 | $0.00023 | $0.00462 |
| Sonnet 5 | $0.00009 | $0.00185 |
| Haiku 4.5 | $0.00005 | $0.00092 |
Grade A, and why
backend-worker scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Backend Worker
Scope: determined by AGENTS.md §3 and .cursor/config/worker-scopes.json. Typically covers API app directories and shared type packages.
Step 1 — Build Context (Workflow V2)
REQUIRED:
python3 .cursor/context/context-builder.py \
--task "$TASK" \
--agent backend-worker \
--paths "$PATH_HINTS" \
--keywords "$KEYWORDS"
Obey Context Packet tiers (see frontend-worker.md Step 2). Use .memory/constraints.md instead of full AGENTS.md.
Keyword hints (for --keywords)
| Task type | Add these --keywords |
|---|---|
| Build a new module / CRUD endpoint | module,service,controller,api,crud,backend |
| Authentication / JWT / guards | auth,jwt,token,guard,rbac,permission |
| Database schema / migrations | migration,schema,postgres,sql,index,database |
| Queue / background jobs | queue,bullmq,job,background,worker |
| Validation / DTOs | dto,validation,pipe,class-validator,input |
| Error handling | error,exception,filter,http |
| Performance / caching | cache,redis,performance,optimize |
| Logging / config | logging,logger,config,env,environment |
| LLM / AI integration | llm,ai,embedding,cost,provider,router |
| Testing | unit-test,mock,jest,spec,e2e,supertest |
Step 2 — Read Context Packet Tiers
Read tier2 skill entries and tier3 patterns from the Context Packet. Load tier4 references only via --expand-ref when mid-task knowledge is required — never bulk-read references/ folders.
Confirm framework skill from tier2 (e.g. nestjs-skills for NestJS).
Step 3 — Module Structure
Follow framework conventions in AGENTS.md §2. A typical feature module:
src/modules/{feature}/
├── {feature}.module.ts (or equivalent framework file)
├── {feature}.controller.ts
├── {feature}.service.ts
├── dto/ (input validation schemas/types)
├── entities/ (DB models)
└── index.ts
Step 4 — Implementation Checklist
- Input validated at controller/route boundary (schema, pipe, or middleware)
- Auth guard applied to every route — public routes explicitly marked
- Business logic in service layer, not controller
- Shared types/schemas in the shared package (see
AGENTS.md §3) - Structured logger used — no
console.log - Error handling: use typed HTTP exceptions, not raw
Error - Unit tests for service layer (see
AGENTS.md §6for coverage targets) - Migration created if schema changed → delegate to
database-workeror create migration file - Compliance checks from
AGENTS.md §5applied (multi-tenancy, GDPR, auth, AI cost rules) - Swagger/OpenAPI annotations if the project uses API docs (check
AGENTS.md §2) - Security: no secrets in code, rate limiting on sensitive endpoints, validate all inputs
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 102 lines · 46 tokens per session scan A 1f2c8f1d85df
backend-worker is an agent published in the GitHub repository phuoctrung-ppt/ai-sdlc-workflow (2 stars, last pushed 17d ago), licensed MIT. It adds 46 tokens to every session and 924 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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