agent_summary

agent_summary is an agent for coding agents from terancejiang/Turtle_investment_framework. It costs 0 tokens per session (1,258 once invoked), scanned A, original, no licence file.

A lead-analysis agent that makes the final judgement and checks the quality of a report without repeating the underlying analysis.

In plain words
What is it for?
Use it to combine, refine, and review analysis before producing a final investment report.
Why use it?
It turns earlier analysis into a concise conclusion and helps maintain report quality.

Agent

Install

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.

agentmods
npx agentmods add agents/terancejiang/turtle_investment_framework/agent_summary
Clone the repo
git clone --depth 1 https://github.com/terancejiang/Turtle_investment_framework

Wrote 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.

agentmods badge for agent_summary

README.md
[![agentmods](https://agentmods.dev/badge/agents/terancejiang/turtle_investment_framework/agent_summary.svg)](https://agentmods.dev/agents/terancejiang/turtle_investment_framework/agent_summary)
Your own site
<a href="https://agentmods.dev/agents/terancejiang/turtle_investment_framework/agent_summary"><img src="https://agentmods.dev/badge/agents/terancejiang/turtle_investment_framework/agent_summary.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,258 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.01258
Opus 5 $0.00000 $0.00629
Sonnet 5 $0.00000 $0.00252
Haiku 4.5 $0.00000 $0.00126

Measured 5d ago against content hash 936ef9f423fb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent_summary 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.

shared/qualitative/legacy/agents/agent_summary.md · 125 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

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.

  1. 5d ago First seen · 125 lines · 0 tokens per session scan A 936ef9f423fb

Subscribe to this mod's changes

agent_summary is an agent published in the GitHub repository terancejiang/Turtle_investment_framework (349 stars, last pushed 2mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 1,258 tokens. 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.