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 quantskills/agent-quantspace --skill ingestgit clone --depth 1 https://github.com/quantskills/agent-quantspaceWrote 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/quantskills/agent-quantspace/ingest)<a href="https://agentmods.dev/skills/quantskills/agent-quantspace/ingest"><img src="https://agentmods.dev/badge/skills/quantskills/agent-quantspace/ingest/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/quantskills/agent-quantspace/ingest"><img src="https://agentmods.dev/badge/skills/quantskills/agent-quantspace/ingest.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 | $0.00038 | $0.01698 |
| Opus 5 | $0.00019 | $0.00849 |
| Sonnet 5 | $0.00008 | $0.00340 |
| Haiku 4.5 | $0.00004 | $0.00170 |
Grade A, and why
ingest 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 9d 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.
The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
17 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.
- __init__.py 400 B runs code
- panda_data.py 22 KB runs code
- panda_future_tick.py 85 KB runs code
- references/pandaai-01-overview-setup.md 21 KB
- references/pandaai-02-market-daily.md 10 KB
- references/pandaai-03-market-minute.md 10 KB
- references/pandaai-04-market-hk-us.md 8.1 KB
- references/pandaai-05-reference-securities.md 7.0 KB
- references/pandaai-06-reference-classification-index.md 13 KB
- references/pandaai-07-equity-market-events.md 18 KB
- references/pandaai-08-equity-corporate-info.md 15 KB
- references/pandaai-09-financial-reports.md 41 KB
- references/pandaai-10-factors-adjustment.md 37 KB
- references/pandaai-11-trading-tools.md 9.2 KB
- references/pandaai-12-futures.md 7.1 KB
- references/pandaai-13-funds-etf.md 4.4 KB
- symbol_map.py 3.8 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.
- 9d ago First seen · 170 lines · 38 tokens per session scan A d2c13e353897
ingest is a skill published in the GitHub repository quantskills/agent-quantspace (57 stars, last pushed 7d ago), licensed GPL-3.0. It adds 38 tokens to every session and 1,698 once invoked, about $0.0002 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.
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