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 desirecore/market --skill multi-source-sentimentgit clone --depth 1 https://github.com/desirecore/marketWrote 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/desirecore/market/multi-source-sentiment)<a href="https://agentmods.dev/skills/desirecore/market/multi-source-sentiment"><img src="https://agentmods.dev/badge/skills/desirecore/market/multi-source-sentiment/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/desirecore/market/multi-source-sentiment"><img src="https://agentmods.dev/badge/skills/desirecore/market/multi-source-sentiment.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 | $0.00125 | $0.02699 |
| Opus 5 | $0.00063 | $0.01350 |
| Sonnet 5 | $0.00025 | $0.00540 |
| Haiku 4.5 | $0.00013 | $0.00270 |
Grade A, and why
multi-source-sentiment 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 5d 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 — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Source Sentiment (Due Diligence)
L0: One-Sentence Summary
Input a company name, collect public opinion via Douyin Index (trend) + Douyin Featured (negative material) + WebSearch (web-wide news), and output a due-diligence sentiment report (negative-risk list / positive highlights / sentiment overview / overall judgment).
L1: Overview
- Purpose: answer the core due-diligence questions — any negative publicity? litigation/penalty coverage? product-quality issues? executive misconduct? overall reputation?
- Channel split:
| Channel | Due-diligence use | Collection |
|---|---|---|
| Douyin Index | Quantified heat trend (is something fermenting recently?) | Kimi WebBridge visiting Oceanengine Trends |
| Douyin Featured | Concrete negative material (complaint/expose videos) | Kimi WebBridge searching Douyin |
| WebSearch | Web-wide negative news / court notices / penalties / complaints | DesireCore built-in WebSearch |
- Prerequisites: Kimi WebBridge daemon running (
127.0.0.1:10086) + browser extension connected
L2: Procedure
Source 1: Douyin Index (heat trend)
Access Method
URL: https://trendinsight.oceanengine.com/arithmetic-index/analysis/keyword?keyword={company-short-name}&appName=aweme
Method: Kimi WebBridge opens the URL and extracts page content
Note: URL-parameterized access avoids captchas. Do not type into the search box.
Keyword Strategy
| Dimension | Keyword |
|---|---|
| Overall heat | {short name} |
| Negative heat | {short name} 负面 |
| Complaint heat | {short name} 投诉 |
Interpretation
- Sudden spike (MoM > 200%) → a negative event may be fermenting; investigate
- Flat trend → low reputation risk
- Persistently high → normal for famous companies; judge by content
Source 2: Douyin Featured (negative material)
Access Method
URL: https://www.douyin.com/search/{company-short-name}?type=video
Method: Kimi WebBridge searches Douyin, extracts title / author / likes / comments
Note: search by short name (full names rarely hit); prioritize high-engagement videos.
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.
- 5d ago First seen · 230 lines · 125 tokens per session scan A 35d61e5fde97
multi-source-sentiment is a skill published in the GitHub repository desirecore/market (2 stars, last pushed yesterday), licensed MIT. It adds 125 tokens to every session and 2,699 once invoked, about $0.0006 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 2026-09-05.
Other skills, from other repositories
douyin-upload
A workflow for using the sau command-line tool to log in to Douyin, the Chinese short-video platform, check account cookies, and publish videos or image-and-text posts.
kuaishou-upload
A workflow for using the sau command-line tool to log in to Kuaishou, a Chinese social media platform, check account cookies, and publish videos or image-and-text posts.
xiaohongshu-upload
A workflow for using the sau command-line tool to log in to Xiaohongshu, a Chinese social media platform, check account cookies, and publish videos or image-and-text posts.
investor-materials
Use when packaging or circulating the documents an investor reads outside the meeting — setting up or cleaning a data room, writing the one-pager or teaser that earns the first meeting, or drafting the recurring monthly investor update. NOT the slide narrative (that is pitch-deck), NOT the projection spreadsheet (that…
videonote
A skill for turning video links or local videos from supported platforms into AI-generated Markdown notes. It can inspect videos, use available subtitles or transcription, and return notes with key points and chapters.
release-poster
A fixed process for creating social-media release graphics in horizontal and vertical formats from a supplied template.