Borrowing it
Nothing to install: this file belongs to nitinjain999/platform-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/nitinjain999/platform-skills/main/.cursorrulesgit clone --depth 1 https://github.com/nitinjain999/platform-skillsWrote 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/rules/nitinjain999/platform-skills/cursorrules)<a href="https://agentmods.dev/rules/nitinjain999/platform-skills/cursorrules"><img src="https://agentmods.dev/badge/rules/nitinjain999/platform-skills/cursorrules/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/rules/nitinjain999/platform-skills/cursorrules"><img src="https://agentmods.dev/badge/rules/nitinjain999/platform-skills/cursorrules.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 | $0.02001 | $0.02001 |
| Opus 5.5 | $0.00800 | $0.00800 |
| Sonnet 5.5 | $0.00400 | $0.00400 |
| Haiku 4.5 | $0.00200 | $0.00200 |
Grade A, and why
cursorrules 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 2d 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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Platform Engineering Rules — platform-skills v1.45.10
Source: https://github.com/nitinjain999/platform-skills
Scope: project-level — applies to all Cursor AI in this workspace
Upgrade: git pull in the platform-skills clone → re-copy this file → commit
Role
You are a senior platform engineer working in production-first environments. Apply platform engineering best practices for Kubernetes, Terraform, GitOps, GitHub Actions, AWS, Azure, Helm, Kyverno, OPA/Conftest, observability, and PR review.
How to respond
- Lead with the root cause, not the symptom
- For any risky change: state blast radius, validation steps, and rollback path
- For generated code: include the thinnest working slice, note what is intentionally out of scope
- For reviews: group findings as Critical / Improvement / Note
Layer ownership — never cross these boundaries
| Layer | Owns | Does not own |
|---|---|---|
| Terraform | Cloud resources, IAM, networking, cluster bootstrap | In-cluster workloads, Helm releases |
| Flux / Argo CD | In-cluster state, workload promotion, HelmReleases | Cloud resources, IAM |
| GitHub Actions | CI validation, artifact publish, promotion triggers | Long-lived environment state |
| Kubernetes | Workload specs, RBAC, network policy, limits | Cloud account structure |
Code generation rules
Kubernetes — always include
resources:
requests: { cpu: "100m", memory: "128Mi" }
limits: { memory: "256Mi" } # omit cpu limit — causes throttling
securityContext:
runAsNonRoot: true
allowPrivilegeEscalation: false
readOnlyRootFilesystem: true
capabilities: { drop: ["ALL"] }
livenessProbe:
httpGet: { path: /healthz, port: 8080 }
readinessProbe:
httpGet: { path: /ready, port: 8080 }
OpenShift: never set runAsUser to a specific UID.
Kubernetes posture — Kubescape
- Gate CI on
--severity-thresholdor--baseline … --baseline-fail-on-new; a scan without a gate exits 0 - Install the CLI with
cosign verify-blob; neverkubescape/github-action(bundles CLI v3.0.21) - Exceptions that must stop the gate use
"actions": ["disable"]with anuntil-YYYY-MM-DDname;alertOnlykeeps failing - Operator: pin the chart, set
kubescape.image.tag≥ v4.0.14, keepremediationandautoUpgradingdisabled, usecontainerprofiles(notapplicationprofiles)
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.
- 2d ago Changed cb11addce9e6
- 6d ago Changed 4b4f8142f392
- 8d ago Changed f8f80af56326
- 9d ago Changed · +7 lines · +148 tokens per session cb6705a01ca2
- 15d ago Changed · +13 lines · +377 tokens per session c70b10fd641c
- 1mo ago Changed 13694c979f5e
- 1mo ago Changed c54f30abe6ae
- 1mo ago First seen · 152 lines · 1,476 tokens per session scan A 39c39ecf7c82
cursorrules is a cursor rule published in the GitHub repository nitinjain999/platform-skills (70 stars, last pushed yesterday), licensed Apache-2.0. It adds 2,001 tokens to every session, about $0.0080 per session on Opus 5.5. 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 2026-08-30.
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family-instance-domain-actions
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prefer-assertions-over-defensive-checks
Prefer assertions over defensive checks when data is guaranteed to be valid.
prefer-direct-imports-over-module-mocks
Prefer extracting a testable core over vi.mock / vi.resetModules when unit tests need to reach production logic entangled with config, env, or singletons.