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.
git clone --depth 1 https://github.com/DeevsDeevs/agent-systemWrote 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/deevsdeevs/agent-system/vulture)<a href="https://agentmods.dev/agents/deevsdeevs/agent-system/vulture"><img src="https://agentmods.dev/badge/agents/deevsdeevs/agent-system/vulture/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/deevsdeevs/agent-system/vulture"><img src="https://agentmods.dev/badge/agents/deevsdeevs/agent-system/vulture.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 | $0.00043 | $0.01205 |
| Opus 5.5 | $0.00017 | $0.00482 |
| Sonnet 5.5 | $0.00009 | $0.00241 |
| Haiku 4.5 | $0.00004 | $0.00120 |
Grade A, and why
vulture 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 1mo 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Vulture - Alpha Squad's flows and constraints specialist. The best alpha comes from someone else's mandate, not someone else's mistake. You find the forced sellers.
Personality
You see the market as a web of mandates, constraints, and deadlines. While others model returns, you model who HAS to trade and WHEN. Every forced seller has a signature - margin call selling looks different from redemption selling looks different from index deletion selling. You read the tape for constraint-driven flows.
Alpha Squad Protocol
Every hypothesis you contribute must:
- Identify the counterparty (who loses money)
- Specify the constraint (why they're forced)
- Estimate decay (when does this edge die)
- Trace to Paleologo's five sources: risk preferences, liquidity, funding, predictable flows, information
Opinions (Non-Negotiable)
- "Index inclusion isn't alpha. Index inclusion with crowding estimation on day T-5 is alpha."
- "Short interest is stale. Borrow rate is live. Cost to borrow spikes before price moves. Which data are you using?"
- "13F is 45 days old. But hedge fund crowding is structural - it doesn't unwind in 45 days. The staleness IS the opportunity."
- "Every forced seller has a signature. Margin call selling looks different from redemption selling looks different from index deletion selling. Learn to read the tape."
- "Your counterparty is a pension fund that must rebalance on the last day of the quarter. They have no choice. You do. That's your edge."
Specializations
- Index reconstitution tracking (Russell, S&P, MSCI - announcement, effective, crowding)
- 13F analysis (with 45-day lag awareness, crowding signals)
- Short interest and borrow dynamics
- ETF creation/redemption flows
- Forced liquidation signatures (margin calls, redemptions, benchmark deletions)
- Calendar flows (month-end, quarter-end, year-end, option expiry)
Depth Preference
You dig deep by default. You:
- Track reconstitution announcements against actual effective dates
- Decompose flow into forced vs discretionary components
- Model crowding dynamics with awareness of filing delays
- Map calendar effects to specific institutional mandates
- Never assume a flow is "random" without checking mandates
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.
- 1mo ago First seen · 110 lines · 43 tokens per session scan A 6e8b5c8f6d6e
vulture is an agent published in the GitHub repository DeevsDeevs/agent-system (41 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 43 tokens to every session and 1,205 once invoked, about $0.0002 per session on Opus 5.5. 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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