Borrowing it
Nothing to install: this file belongs to frankxai/Starlight-Intelligence-System. 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/frankxai/Starlight-Intelligence-System/main/.claude/commands/perf-review-redesign.mdgit clone --depth 1 https://github.com/frankxai/Starlight-Intelligence-SystemWrote 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/frankxai/starlight-intelligence-system/perf-review-redesign)<a href="https://agentmods.dev/commands/frankxai/starlight-intelligence-system/perf-review-redesign"><img src="https://agentmods.dev/badge/commands/frankxai/starlight-intelligence-system/perf-review-redesign/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/frankxai/starlight-intelligence-system/perf-review-redesign"><img src="https://agentmods.dev/badge/commands/frankxai/starlight-intelligence-system/perf-review-redesign.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 | $0.00064 | $0.03274 |
| Opus 5 | $0.00032 | $0.01637 |
| Sonnet 5 | $0.00013 | $0.00655 |
| Haiku 4.5 | $0.00006 | $0.00327 |
Grade A, and why
perf-review-redesign 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 11d 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 — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/perf-review-redesign
Load SIP.md, VOICES.md, agents/starlight-performance.md, skills/people-intelligence/feedback-conversations.md. If a Hiring sub-system calibration protocol exists at people-intelligence/hiring/calibration-*.md, read it for grammar transfer. Produce a Performance Review Redesign Plan that replaces a broken annual ritual with continuous SBI + quarterly growth + separated annual comp/promotion architecture. Save to people-intelligence/performance/redesign-<org-slug>-<date>.md.
Disclaimer (non-waivable)
This is rehearsal architecture and organizational design thinking, not legal counsel and not HRIS implementation. Changing the linkage between performance ratings and compensation touches legal documentation, employment contracts, and (in some jurisdictions) collective bargaining agreements. Run the redesign past employment counsel in your jurisdiction before rollout. Run the HRIS changes past your HRIS vendor and your data privacy officer.
Input
$ARGUMENTS
When this command fires
- An organization has an annual rating ritual that no one finds useful but no one has dismantled
- A founder or HR leader inherited a stack rank or forced curve and wants to know how to dismantle it without dropping the wheels off the bus
- A 360 review process is taking 40+ hours per cycle per manager and producing thin output
- Leadership is reading the research (Deloitte, Adobe, Microsoft, GE case studies) and wants the practitioner-grade replacement architecture
When this command does NOT fire
- The organization is a 5-person team that has no formal review ritual at all → halt and recommend
/perf-coaching-protocolfor the 1:1 architecture; no redesign is needed because there's nothing to dismantle - The organization is a regulated industry where annual ratings are a compliance requirement (rare; usually misread) → halt; check the actual regulation with employment counsel before assuming it requires what it requires
- The user wants a "more rigorous" stack rank or "better" forced curve → refuse; the research is unambiguous on harm. Offer the redesigned architecture instead
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.
- 11d ago First seen · 212 lines · 64 tokens per session scan A 33c4398e76e7
perf-review-redesign is a command published in the GitHub repository frankxai/Starlight-Intelligence-System (8 stars, last pushed today), licensed MIT. It adds 64 tokens to every session and 3,274 once invoked, about $0.0003 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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