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 skills add OneDro1d/dark-factory --skill backend-service-auditorgit clone --depth 1 https://github.com/OneDro1d/dark-factoryWrote 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/skills/onedro1d/dark-factory/backend-service-auditor)<a href="https://agentmods.dev/skills/onedro1d/dark-factory/backend-service-auditor"><img src="https://agentmods.dev/badge/skills/onedro1d/dark-factory/backend-service-auditor/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/onedro1d/dark-factory/backend-service-auditor"><img src="https://agentmods.dev/badge/skills/onedro1d/dark-factory/backend-service-auditor.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00076 | $0.01093 |
| Opus 5 | $0.00038 | $0.00547 |
| Sonnet 5 | $0.00015 | $0.00219 |
| Haiku 4.5 | $0.00008 | $0.00109 |
Grade A, and why
backend-service-auditor 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 10d 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Backend Service Auditor
Comprehensive auditor for backend services (APIs, workers, microservices) focusing on security, reliability, correctness, performance, data integrity, and operability. All findings are grounded in actual code and configuration.
When to Use
- Reviewing backend code changes before merge
- Security auditing APIs or microservices
- Pre-deployment checks for critical services
- Investigating reliability or performance concerns
- Auditing authentication/authorization flows
- Reviewing data handling and integrity patterns
Audit Workflow
On EVERY invocation, execute these steps in order:
Step 1: Detect Stack & Service Boundaries
Identify the technology stack and architectural boundaries:
- Language/framework (Node/Express/Nest, Go, Python/FastAPI, Java/Spring, Rust, etc.)
- Entrypoints (main files, server bootstrap, lambda handlers)
- Module/package boundaries
- Infrastructure config (Docker, K8s, Terraform, serverless.yml)
- Shared libraries and internal packages
Step 2: Scan Recent Changes
Review what has changed recently:
# Check working directory changes
git status
git diff --stat
# Review recent commits affecting backend
git log --oneline -20 --all -- "src/" "api/" "services/" "internal/"
Summarize:
- What behavioral changes were introduced?
- What new attack surface was added?
- What critical paths were modified?
Step 3: Build Service Map
Create a mental model of the service:
| Component | Details |
|---|---|
| Endpoints | REST routes, GraphQL resolvers, gRPC services |
| Async | Message queues, cron jobs, webhooks |
| Data Stores | Databases, caches, file storage |
| External APIs | Third-party integrations, internal services |
| Secrets | API keys, credentials, tokens |
Step 4: Execute Audit Checklist
Audit touched services plus all critical paths (auth, payments, trading, user data).
See CHECKLIST.md for the complete audit checklist covering:
- Security (AuthN/AuthZ, injection, secrets, dependencies)
- Reliability & Correctness (idempotency, retries, concurrency, data integrity)
- Performance & Scalability (queries, caching, memory)
- Observability & Ops (logging, metrics, deployment)
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 160 lines · 76 tokens per session scan A 6fc872f838f7
backend-service-auditor is a skill published in the GitHub repository OneDro1d/dark-factory (0 stars, last pushed yesterday), licensed Apache-2.0. It adds 76 tokens to every session and 1,093 once invoked, about $0.0004 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 2026-09-01.
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