agents-towards-production
Production-readiness audit checklist distilled from NirDiamant/agents-towards-production (the "open-source playbook for turning prototypes into real-world…
Skill by Narendarcodes
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About
Use cases: backend, security
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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codeload.github.com· found in install command
Files it touches
~/.claude/skills/agents-towards-production
What's inside
- Skill name
agents-towards-production- Description
- Production-readiness audit checklist distilled from NirDiamant/agents-towards-production (the "open-source playbook for turning prototypes into real-world products"). Use PROACTIVELY when asked to confirm a project is production-ready, run a production-readiness audit, harden a service for deployment, or review security/observability/evaluation/deployment perspectives of an application. Applies the repo's core pillars - security guardrails, observability, evaluation, deployment, and human-in-the-loop safety - to any backend/service codebase.
- License
- MIT
- Instructions
- 64 lines in SKILL.md · view on GitHub
Files (3)
- .provenance.json
- .skill_id
- SKILL.md
SKILL.md (first lines)
# Agents Towards Production — Production-Readiness Audit This skill distills the production-readiness philosophy of the `NirDiamant/agents-towards-production` repo (28 production-grade tutorials across security, observability, evaluation, deployment, memory, and orchestration) into a concrete audit the agent can run against a codebase. Use it to confirm a project is "production ready in all perspectives." ## Core Pillars (from the repo) ### 1. Security Guardrails (repo: agent-security-*) - **Input validation** — every external entry point validates and rejects malformed/malicious input before processing (schema validation, size limits, type checks). - **Output sanitization** — never echo raw user input back into responses/logs/HTML; sanitize before persistence and before responding. - **Tool/action access control** — least-privilege: every sensitive action is gated by explicit authorization (RBAC/permissions), never reachable by default. - **Multi-layer defense** — layered controls (rate limiting, authn → authz → validation → action), not single points of defense. - **Context isolation** — separate untrusted user data from trusted system data; never let user-controlled strings influence query/path/command construction (injection defense). - **Secret hygiene** — no secrets in code or config; env-injected secrets, rotation, and never logged. ### 2. Observability (repo: tracing-with-langsmith) - **Tracing** — requests are traceable end-to-end (request id / correlation id through logs). - **Structured logging** — machine-parseable logs with request metadata, timestamps, levels; never log secrets/tokens/passwords. - **Metrics** — key SLIs instrumented (latency, error rate, throughput, DB health); alerting hooks exist for errors and latency. - **Decision visibility** — state transitions and domain events are logged/auditable (who did what, when) so behavior can be reviewed and regressions caught. - **Incident response** — health endpoint, graceful failure, and a way to detect outages fast. ### 3. Evaluation (repo: agent-evaluation-intellagent) - **Automated tests** cover happy path AND failure/security paths (unauthorized access, invalid input, state-machine violations). - **Behavioral/security evaluation** — tests assert not just "works" but "cannot be abused" (outsider 403s, missing permissions, injection attempts). - **Continuous evaluation in CI** — tests + lint + build run on every PR; regressions block merge. ### 4. Deployment (repo: docker-intro, runpod-gpu-deploy, aws_agentcore) - **Containerized** — reproducible Docker image, multi-stage, non-root user, minimal footprint, pinned base image. - **12-factor config** — config via environment, no hardcoded values, `.env.example` documents all vars. - **Orchestration** — compose/manifest defines services + persistent volumes + health checks; secrets via env/secret manager, not baked in. - **CI/CD pipeline** — automated build, test, lint, and security/dependency scan on push/PR. - **Graceful shutdown** — handles SIGTERM, closes connections, drains work. ### 5. Human-in-the-Loop / Safety (repo: arcade-secure-tool-calling) - **Sensitive/irreversible operations require explicit approval** — e.g., publishing/approving content requires a user with elevated permission, not implicit. - **Audit trail** — approvals, rejections, and state changes are recorded and attributable. ## Audit Procedure Run this checklist against the target codebase and report per-perspective status (PASS / PARTIAL / FAIL + evidence + fix). Do not declare production-ready until each pillar has evidence in code. 1. **Security** — authn (tokens, password hashing, refresh rotation), authz (RBAC, org-scoping, permission checks on every sensitive route), validation (Joi/schema on all inputs), rate limiting, headers (helmet), secrets (no defaults in prod path), file-upload safety (size, type, path traversal, storage isolation). 2. **Observability** — structured logger, request logging, domain-event/audit logging, health endpoint, no secret leakage in logs, metrics/tracing hooks present or documented gap. 3. **Evaluation** — test suites for auth, authorization, workflows, health; tests cover negative paths; CI runs tests+lint; coverage noted. 4. **Deployment** — Dockerfile (non-root, multi-stage, pinned), compose (volumes, healthcheck, env), .env.example complete, CI workflow, graceful shutdown, dependency lockfile. 5. **Safety/Governance** — sensitive transitions require elevated permission; audit trail via events/activity log; no action auto-approves itself. ## Output Format Deliver a verdict per pillar with evidence (file:line references) and any recommended fixes. End with an overall verdict: PRODUCTION READY / CONDITIONALLY READY (with list of must-fix items) / NOT READY. ## Source Distilled from https://github.com/NirDiamant/agents-towards-production (GenAI agent production playbook). Principles generalized here for any backend service.
From Narendarcodes/Hyperion-workbench, MIT.
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Signals
- Stars
- 4
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 9, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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agents-towards-production skill. Agent Mart. https://agentmart.dev/skills/narendarcodes-agents-towards-production (last updated 2026-10-24)