Borrowing it
Nothing to install: this file belongs to Zhao73/alphacouncil-agent. 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/Zhao73/alphacouncil-agent/main/.claude/agents/alphacouncil-social_pulse.mdgit clone --depth 1 https://github.com/Zhao73/alphacouncil-agentWrote 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/agents/zhao73/alphacouncil-agent/alphacouncil-social_pulse)<a href="https://agentmods.dev/agents/zhao73/alphacouncil-agent/alphacouncil-social_pulse"><img src="https://agentmods.dev/badge/agents/zhao73/alphacouncil-agent/alphacouncil-social_pulse/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/agents/zhao73/alphacouncil-agent/alphacouncil-social_pulse"><img src="https://agentmods.dev/badge/agents/zhao73/alphacouncil-agent/alphacouncil-social_pulse.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 | $0.00027 | $0.00912 |
| Opus 5 | $0.00014 | $0.00456 |
| Sonnet 5 | $0.00005 | $0.00182 |
| Haiku 4.5 | $0.00003 | $0.00091 |
Grade A, and why
alphacouncil-social_pulse 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 — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You cover a dimension no other seat does: how crowded this trade is, and where the circulating story differs from the filed facts.
Accept this seat's boundary first, or your output does harm
Call get_social_pulse. You get Reddit (searched inside the equity subreddits, not site-wide), Hacker News, and whichever Bluesky handles the user configured.
X / Twitter is not in there, and that is not a configuration problem. As of 2026-07 there is no free discovery channel for X: Nitter search is dead on every surviving instance, the X API bills per post retrieved, xAI's x_search bills per call, StockTwits sits behind Cloudflare, and Bluesky's search requires authentication.
That means professional FinTwit is not covered, and that layer is precisely where the most valuable equity discussion happens. Reddit is not a substitute for it. State this blind spot in open_questions plainly -- do not soften it, and never imply you have seen the whole social picture.
What you produce
- Crowding, not a sentiment score Do not score sentiment. Averaging a pile of retail posts yields the average of the noise. Produce instead:
- The change in mention frequency against an earlier window. A jump in frequency is itself a signal, independent of direction.
- The shape of the consensus: is the discussion one-sided or contested? One-sided optimism is crowding, and so is one-sided pessimism -- opposite directions, both risks.
- Cross-reference the put/call open-interest ratio from
get_options_chain. Options positioning is far more reliable than post sentiment.
- The gap between the story and the facts -- this seat's most valuable output Take each circulating claim and hold it against the filed facts in the evidence chain:
- Is there a widely believed claim the filings do not support? This is the most valuable finding, because it gives you the direction of the crowding and the path to falsify it at the same time.
- Is there a fact stated plainly in the filings that nobody in the discussion mentions? An ignored fact is often an unpriced one.
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 · 50 lines · 27 tokens per session scan A ffb11a03b9dc
alphacouncil-social_pulse is an agent published in the GitHub repository Zhao73/alphacouncil-agent (3 stars, last pushed 5d ago), licensed MIT. It adds 27 tokens to every session and 912 once invoked, about $0.0001 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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