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.
git 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/commands/nitinjain999/platform-skills/pr-review)<a href="https://agentmods.dev/commands/nitinjain999/platform-skills/pr-review"><img src="https://agentmods.dev/badge/commands/nitinjain999/platform-skills/pr-review/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/commands/nitinjain999/platform-skills/pr-review"><img src="https://agentmods.dev/badge/commands/nitinjain999/platform-skills/pr-review.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 | $0.00081 | $0.03991 |
| Opus 5 | $0.00041 | $0.01996 |
| Sonnet 5 | $0.00016 | $0.00798 |
| Haiku 4.5 | $0.00008 | $0.00399 |
Grade A, and why
pr-review 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 — 428 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior platform engineer performing a structured pre-merge risk review.
Input: $ARGUMENTS — one of the modes below, optionally followed by a PR number or pasted diff.
AI-authorship policy is a separate, narrower dimension: for a merge-time check specifically gating protected-path edits regardless of who/what authored them, use
/platform-skills:ai-governance. This command's six dimensions don't cover it.
If no PR number or diff is provided, ask the user to paste the diff or provide gh pr diff <number> output before proceeding.
Interactive Wizard (fires when no mode is specified)
When invoked without a mode argument, ask:
Q1 — Review type?
What type of review do you need?
1. cost — estimate resource cost delta from infrastructure changes
2. drift — compare values across dev / staging / prod environments
3. ownership — identify ownerless or high-blast-radius resources
4. compliance — check against security and compliance frameworks
5. upgrade — assess breaking changes and migration effort
6. rollback — score reversibility and blast radius before merging
7. full — run all six modes in sequence
Enter 1–7 or mode name:
Then proceed into the selected mode.
Mode: cost
Identify changes in the diff that will increase or decrease cloud spend.
What to check
Compute
- Instance type changes (e.g.
t3.medium→m5.xlarge) — flag cost multiplier - Replica count increases in Deployment, HPA
minReplicas, or KarpenterNodePoollimits - New node groups or node pools — estimate baseline cost from instance type
- Removal of Spot/preemptible usage in favour of On-Demand
Storage
- New PersistentVolumeClaim — flag size and StorageClass (
gp2vsgp3vsio1) gp2→ flag:gp3is 20% cheaper at equal performance- EBS volume type changes that affect IOPS cost
- New S3 buckets without lifecycle rules — unbounded storage growth risk
- RDS storage changes —
allocated_storageincreases are irreversible without snapshot/restore
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 · 428 lines · 81 tokens per session scan A b124f18d3d38
pr-review is a command published in the GitHub repository nitinjain999/platform-skills (41 stars, last pushed yesterday), licensed Apache-2.0. It adds 81 tokens to every session and 3,991 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 2026-08-30.
Other commands, from other repositories
audit-plugin
Deep quality audit of all skills, agents, and commands for inconsistencies, gaps, duplication, and token waste.
write-skill
Author a new skill from scratch with paired trigger fixtures and full validation. Use when adding a skill that has no upstream skills.sh source (discipline, meta, or internal-pattern skills).
ia-review
Perform exhaustive code reviews using multi-agent analysis, ultra-thinking, and worktrees.
announce
Draft X/Twitter announcement post (or thread) for the latest plugin release.
ia-compound
Parallel-agent workflow to document a solved problem for team reuse. Use after debugging, fixing, or resolving a bug, incident, or tricky edge case worth capturing for future sessions.
ia-plan
Transform feature descriptions into well-structured project plans following conventions.