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 coffee-man666/mommy-chaogu --skill market-watch-loopgit clone --depth 1 https://github.com/coffee-man666/mommy-chaoguWrote 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/coffee-man666/mommy-chaogu/market-watch-loop)<a href="https://agentmods.dev/skills/coffee-man666/mommy-chaogu/market-watch-loop"><img src="https://agentmods.dev/badge/skills/coffee-man666/mommy-chaogu/market-watch-loop/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/coffee-man666/mommy-chaogu/market-watch-loop"><img src="https://agentmods.dev/badge/skills/coffee-man666/mommy-chaogu/market-watch-loop.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 | $0.00070 | $0.01880 |
| Opus 5 | $0.00035 | $0.00940 |
| Sonnet 5 | $0.00014 | $0.00376 |
| Haiku 4.5 | $0.00007 | $0.00188 |
Grade A, and why
market-watch-loop 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.
How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Watch Loop
Use this skill to turn a natural-language request into a bounded, auditable market-monitoring loop. The loop is configurable, but every run must preserve the exchange session, source timestamps, coverage, missing fields, and stop condition.
1. Confirm the monitoring contract
Resolve the smallest set of missing choices before starting repeated collection:
market: A-shares | US stocks
scope: indices, sectors/themes, ETFs, and/or named symbols
frequency: positive duration; default 10 minutes
window: exchange session, explicit start/end, or bounded number of polls
coverage: one or more supported information blocks
analysis: breadth, leaders/laggards, MA timeframes, flows, or other supported calculations
output: live update, CSV/SQLite history, Markdown report
Ask for clarification only when a missing choice changes the data source or safety of the run. Reasonable defaults are:
- Frequency: every 10 minutes during regular trading hours. Honor a user-specified cadence, including 15 minutes, and state it in the first update.
- A-share scope: broad indices → requested sector/theme → canonical constituents when a theme is named. Disclose the returned constituent count and any truncation.
- US scope:
^GSPC,^IXIC,^DJI,^VIX, and^TNXplus the user's ETF or stock basket; do not invent a sector universe when none was requested. - Storage: append one dated CSV summary or use the project's SQLite/cache path. Keep raw OHLC in memory or in a deliberately named CSV/SQLite file. Do not create one JSON file per poll.
- Duration: stop at the requested end time or exchange close; never run indefinitely by implication.
For US stocks, do not fetch data until the user has chosen a pipeline, unless the request already specifies one:
- Yahoo Finance only: no key; quotes/bars, benchmarks, VIX, and rates where available. It does not provide a full-market snapshot, money flow, or reliable A-share-style sector breadth.
- Massive/Polygon primary + Yahoo fallback: use when the corresponding key is configured; disclose that equity and index/risk data can have different timestamps and semantics.
- Offline fixture/historical replay: deterministic and network-free; valid for testing loop orchestration, not for claiming current market freshness.
What ships with it
2 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 · 161 lines · 70 tokens per session scan A 951b0147d673
market-watch-loop is a skill published in the GitHub repository coffee-man666/mommy-chaogu (47 stars, last pushed today), licensed MIT. It adds 70 tokens to every session and 1,880 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 2026-08-30.
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