Borrowing it
Nothing to install: this file belongs to MaxQian888/cognia-next. 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/MaxQian888/cognia-next/dev/.agents/skills/performance-daily-report/SKILL.mdgit clone --depth 1 https://github.com/MaxQian888/cognia-nextWrote 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/maxqian888/cognia-next/performance-daily-report)<a href="https://agentmods.dev/skills/maxqian888/cognia-next/performance-daily-report"><img src="https://agentmods.dev/badge/skills/maxqian888/cognia-next/performance-daily-report/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/maxqian888/cognia-next/performance-daily-report"><img src="https://agentmods.dev/badge/skills/maxqian888/cognia-next/performance-daily-report.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 | $0.00086 | $0.02290 |
| Opus 5 | $0.00043 | $0.01145 |
| Sonnet 5 | $0.00017 | $0.00458 |
| Haiku 4.5 | $0.00009 | $0.00229 |
Grade A, and why
performance-daily-report scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl --fail --silent --show-error --max-time 5 http://127.0.0.1:43201/context \ The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
9 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.
- agents/openai.yaml 312 B
- references/report-schema.md 5.2 KB
- references/slardar-source.md 2.8 KB
- scripts/collect-slardar-report.mjs 21 KB runs code
- scripts/collect-slardar-report.test.mjs 3.5 KB runs code
- scripts/generate-feishu-card.mjs 24 KB runs code
- scripts/generate-feishu-card.test.mjs 8.2 KB runs code
- scripts/quick-test-card.mjs 12 KB runs code
- scripts/quick-test-card.test.mjs 8.0 KB runs code
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 · 211 lines · 86 tokens per session scan A afe88b5bc87e
performance-daily-report is a skill published in the GitHub repository MaxQian888/cognia-next (53 stars, last pushed yesterday), licensed AGPL-3.0. It adds 86 tokens to every session and 2,290 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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