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 minguncle/a-share-agent-skills --skill a-share-report-scangit clone --depth 1 https://github.com/minguncle/a-share-agent-skillsWrote 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/minguncle/a-share-agent-skills/a-share-report-scan)<a href="https://agentmods.dev/skills/minguncle/a-share-agent-skills/a-share-report-scan"><img src="https://agentmods.dev/badge/skills/minguncle/a-share-agent-skills/a-share-report-scan/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/minguncle/a-share-agent-skills/a-share-report-scan"><img src="https://agentmods.dev/badge/skills/minguncle/a-share-agent-skills/a-share-report-scan.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 | $0.00066 | $0.01093 |
| Opus 5 | $0.00033 | $0.00547 |
| Sonnet 5 | $0.00013 | $0.00219 |
| Haiku 4.5 | $0.00007 | $0.00109 |
Grade A, and why
a-share-report-scan 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
A-Share Report Scan
Use this skill when the user asks for a report-driven review such as "最近几天的研报", "行业研报怎么看", "先看研报再看板块", or "这只票最近机构怎么写".
What This Skill Does
This skill turns Eastmoney research pages into a structured sell-side flow review:
- which industries are receiving dense coverage
- which stocks are receiving repeated upgrades or buy calls
- where report heat matches the tape
- where report heat is not being traded
It does not treat reports as facts.
When To Use
Use this skill when the user:
- explicitly asks to scan Eastmoney reports
- wants stock or industry report summaries from the last few days or weeks
- wants to know whether analyst consensus is improving or fading
- wants report flow compared with sector price action
Do not use this skill as the only tool for "what should I buy today". Pair it with fresh market-state checking.
Core Sources
Default source order:
https://data.eastmoney.com/report/https://data.eastmoney.com/report/stock.jshtmlhttps://data.eastmoney.com/report/industry.jshtml
If needed, pair with:
- sector fund-flow pages
- index or breadth pages
- single-stock chart and money-flow checks
Workflow
1. Capture The Window
- State the scan date.
- Define the review window: same day, 3 days, 10 days, 1 month, or longer.
2. Pull Report Flow
For each relevant page, extract:
- publish date
- institution
- stock or industry name
- rating
- rating change if visible
- title wording
3. Group By Consensus
Summarize by:
- industry clusters
- repeated stock mentions
- rating concentration
- institutions converging on the same theme
Useful frames:
- report density is rising
- rating is stable but enthusiasm is fading
- one-off positive note, not consensus
- sector is getting coverage, but only one stock has repeated support
4. Compare With The Tape
Never stop at report titles. Compare with:
- sector strength or weakness
- stock price structure
- volume confirmation
- emotional confirmation
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 · 158 lines · 66 tokens per session scan A 06c6fbab4025
a-share-report-scan is a skill published in the GitHub repository minguncle/a-share-agent-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 66 tokens to every session and 1,093 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 2026-08-31.
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