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 thesongzhu/Friday --skill summarize-shop-performancegit clone --depth 1 https://github.com/thesongzhu/FridayWrote 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/thesongzhu/friday/summarize-shop-performance)<a href="https://agentmods.dev/skills/thesongzhu/friday/summarize-shop-performance"><img src="https://agentmods.dev/badge/skills/thesongzhu/friday/summarize-shop-performance/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/thesongzhu/friday/summarize-shop-performance"><img src="https://agentmods.dev/badge/skills/thesongzhu/friday/summarize-shop-performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.00212 |
| Opus 5 | $0.00000 | $0.00106 |
| Sonnet 5 | $0.00000 | $0.00042 |
| Haiku 4.5 | $0.00000 | $0.00021 |
Grade A, and why
summarize-shop-performance 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 12d 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
Summarize Shop Performance
Cluster cross-border store-health, refund, fulfillment, ad-spend, and listing-quality notes into a daily action board.
When to use
- The cross-border
daily-store-health-checkworkflow is enabled. - The user pastes daily store-performance notes from TikTok Shop or Amazon and wants a focused triage list.
Inputs
performanceNotes(string, required): one observation per line. Mixed Chinese/English notes are supported.
Outputs
issueClusters: a multi-line cluster summary suitable for the daily action board.summary: one-line headline.nextStep: recommended next operator action.details: structured cluster + language + highlight data for UI rendering.
Behavior
- Deterministic keyword bucketing across fulfillment, cancellation, refund, ad spend, listing quality, shop score, and inventory risk.
- No external network calls, no filesystem writes, no provider dependency.
- Returns a soft empty bundle when notes are missing instead of inventing findings.
What ships with it
3 files 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.
- 12d ago First seen · 26 lines · 0 tokens per session scan A 54033745852a
summarize-shop-performance is a skill published in the GitHub repository thesongzhu/Friday (838 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 212 tokens. 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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