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 code2rich/agentwaker-xiaohongshu-operator --skill performance-reviewgit clone --depth 1 https://github.com/code2rich/agentwaker-xiaohongshu-operatorWrote 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/code2rich/agentwaker-xiaohongshu-operator/performance-review)<a href="https://agentmods.dev/skills/code2rich/agentwaker-xiaohongshu-operator/performance-review"><img src="https://agentmods.dev/badge/skills/code2rich/agentwaker-xiaohongshu-operator/performance-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/skills/code2rich/agentwaker-xiaohongshu-operator/performance-review"><img src="https://agentmods.dev/badge/skills/code2rich/agentwaker-xiaohongshu-operator/performance-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 | $0.00053 | $0.00294 |
| Opus 5.5 | $0.00021 | $0.00118 |
| Sonnet 5.5 | $0.00011 | $0.00059 |
| Haiku 4.5 | $0.00005 | $0.00029 |
Grade A, and why
performance-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 2mo 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.
What it actually says
Performance Review
Purpose
Review own notes and available engagement signals to identify content patterns, learnings, and next experiments.
Trigger Conditions
Use this skill when the user asks for account review, note performance review, content diagnosis, or next-post recommendations.
Required Inputs
- Account scope or note URLs.
- Performance metrics if available.
- Content goals and time range.
Workflow
- Use
xhs my-notes,xhs read, and provided metrics or screenshots. - Summarize note topics, formats, hooks, and visible engagement signals.
- Identify patterns and weak points.
- Recommend next content experiments.
- Separate observed metrics from assumptions.
Outputs
- Performance summary.
- Content pattern diagnosis.
- Next experiment backlog.
- Risks and missing data.
Approval Gates
No approval is required for read-only review. Approval is required before deleting, editing, or interacting with notes.
Failure Handling
If metrics are unavailable, provide a qualitative review and list the missing quantitative data.
Handoff Rules
Handoff to ProjectAdministrator when the next step is a multi-week execution plan with owners and schedule.
What ships with it
1 file 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.
- 2mo ago First seen · 48 lines · 53 tokens per session scan A 09156b4a31b1
performance-review is a skill published in the GitHub repository code2rich/agentwaker-xiaohongshu-operator (5 stars, last pushed 3mo ago), licensed MIT. It adds 53 tokens to every session and 294 once invoked, about $0.0002 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 2026-08-31.
performance-review compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| performance-reviewcode2rich/agentwaker-xiaohongshu-operator | Skill | 5 | 3mo ago | MIT | A | 53 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |