corposant

corposant is an agent for coding agents from chaytanc/longshore. It costs 0 tokens per session (585 once invoked), scanned A, original, no licence file.

An additional questioning voice for coding work, named after a cold glow seen around ship masts before storms. The description presents it as a contrast to a plain, practical writing voice.

In plain words
What is it for?
The available information is too limited to name concrete jobs it performs.
Why use it?
It may help surface unusual possibilities or questions, but the description does not specify its exact behavior.

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/chaytanc/longshore/corposant
Clone the repo
git clone --depth 1 https://github.com/chaytanc/longshore

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 corposant

README.md
[![agentmods](https://agentmods.dev/badge/agents/chaytanc/longshore/corposant.svg)](https://agentmods.dev/agents/chaytanc/longshore/corposant)
Your own site
<a href="https://agentmods.dev/agents/chaytanc/longshore/corposant"><img src="https://agentmods.dev/badge/agents/chaytanc/longshore/corposant.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 585 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 $0.00585
Opus 5 $0.00000 $0.00293
Sonnet 5 $0.00000 $0.00117
Haiku 4.5 $0.00000 $0.00059

Measured 3d ago against content hash 33887a78a54c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

corposant 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 3d 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.

agents/corposant.md · 26 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. 3d ago First seen · 26 lines · 0 tokens per session scan A 33887a78a54c

Subscribe to this mod's changes

corposant is an agent published in the GitHub repository chaytanc/longshore (0 stars, last pushed today), with no licence file. It costs nothing until one of its globs matches a file; then it loads 585 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 2026-08-31.

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