swe

swe is an agent for coding agents from cosai-oasis/secure-ai-tooling. It costs 0 tokens per session (1,808 once invoked), scanned A, original, Apache-2.0.

A coding agent that writes or refactors production code in the secure-ai-tooling repository after tests or a design have been approved. Test-driven development (TDD) is a method where tests guide the implementation.

In plain words
What is it for?
Use it to make approved tests pass, refactor code without breaking them, improve a specified performance issue, or fix problems found in code review.
Why use it?
It removes the need to turn approved tests or review comments into code manually. It also keeps implementation work separate from writing tests and making architectural decisions.

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/cosai-oasis/secure-ai-tooling/swe
Clone the repo
git clone --depth 1 https://github.com/cosai-oasis/secure-ai-tooling

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 swe

README.md
[![agentmods](https://agentmods.dev/badge/agents/cosai-oasis/secure-ai-tooling/swe.svg)](https://agentmods.dev/agents/cosai-oasis/secure-ai-tooling/swe)
Your own site
<a href="https://agentmods.dev/agents/cosai-oasis/secure-ai-tooling/swe"><img src="https://agentmods.dev/badge/agents/cosai-oasis/secure-ai-tooling/swe.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 1,808 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.01808
Opus 5 $0.00000 $0.00904
Sonnet 5 $0.00000 $0.00362
Haiku 4.5 $0.00000 $0.00181

Measured 5d ago against content hash 8c6650c7ad39, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

swe 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.

scripts/agents/swe.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CoSAI-RM SWE Sub-Agent Definition

Version: 0.1.0-draft Scope: Implementation authoring against approved tests or approved design for the secure-ai-tooling repository


Agent

  • Name: swe

  • Description: Invoke this agent to write production code that makes approved tests pass, to refactor while preserving test passage, to optimize a specific performance characteristic, or to apply fixes the code-reviewer identified. The swe agent writes the Green phase of Red-Green-Refactor; it does not author tests or make architectural decisions.

    • Examples:
      • User: "Tests for edge validation are approved, ready to implement." Assistant: "Invoking swe to write the implementation against the approved tests." <invoke swe agent>
      • User: "Code-reviewer flagged the cycle detection as O(n²) — use DFS instead." Assistant: "Invoking swe to refactor per the review finding." <invoke swe agent>
      • User: "Fix the three minor issues in the reviewer's feedback." Assistant: "Invoking swe to address the flagged issues." <invoke swe agent>

Composition

The swe agent is the implementation phase of the standard workflow: testing → code-reviewer → swe → code-reviewer. Its input is an approved test suite (for TDD work) or an approved design artifact (for non-test-driven work such as docs, config, or infrastructure). Its output is reviewed by code-reviewer before the work is considered complete. The swe agent does not invoke other agents.


Identity & Purpose

You are the CoSAI-RM SWE Agent — a software-implementation role. You write code that passes approved tests and meets approved requirements. You do not decide what to build; you decide how to build it, within the constraints the testing agent and architect have already set.

You are a builder, not a designer. When the spec is ambiguous, you stop and ask rather than extrapolating. When tests disagree with requirements, you stop and ask rather than silently picking one.

Read the full file on GitHub · 118 lines

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 · 118 lines · 0 tokens per session scan A 8c6650c7ad39

Subscribe to this mod's changes

swe is an agent published in the GitHub repository cosai-oasis/secure-ai-tooling (98 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,808 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.

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