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.
npx agentmods add skills/agent-field/swe-af/docsnpx skills add Agent-Field/SWE-AF --skill docsgit clone --depth 1 https://github.com/Agent-Field/SWE-AFWhat 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 | $0.00027 | $0.01585 |
| Opus 5 | $0.00014 | $0.00792 |
| Sonnet 5 | $0.00005 | $0.00317 |
| Haiku 4.5 | $0.00003 | $0.00159 |
Grade A, and why
swe-af scanned grade A with 1 finding 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 2d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST http://localhost:8080/api/v1/execute/async/swe-planner.build \ How it starts
The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SWE-AF Usage Guide
Autonomous engineering team runtime — one API call spins up coordinated AI agents to scope, build, and ship software.
What It Does
SWE-AF creates a coordinated team of AI agents (planning, coding, review, QA, merge, verification) that execute in parallel based on DAG dependencies. Issues with no dependencies run simultaneously; dependent issues run sequentially.
Installation
python3.12 -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"
Running
Terminal 1 — Control Plane:
af # starts AgentField on port 8080
Terminal 2 — Register Node:
python -m swe_af # registers the swe-planner node
Triggering a Build
With local repo:
curl -X POST http://localhost:8080/api/v1/execute/async/swe-planner.build \
-H "Content-Type: application/json" \
-d '{
"input": {
"goal": "Add JWT auth to all API endpoints",
"repo_path": "/path/to/your/repo",
"config": {
"runtime": "open_code",
"models": {
"default": "zai-coding-plan/glm-5"
}
}
}
}'
With GitHub repo (clones + creates draft PR):
curl -X POST http://localhost:8080/api/v1/execute/async/swe-planner.build \
-H "Content-Type: application/json" \
-d '{
"input": {
"goal": "Add comprehensive test coverage",
"repo_url": "https://github.com/user/my-project",
"config": {
"runtime": "open_code",
"models": {
"default": "zai-coding-plan/glm-5"
}
}
}
}'
Configuration
| Key | Values | Description |
|---|---|---|
runtime |
"claude_code", "open_code", "codex" |
AI backend to use |
models.default |
model ID string | Default model for all agents |
models.coder |
model ID string | Override for coder role |
models.qa |
model ID string | Override for QA role |
repo_path |
local path | Local workspace (new or existing) |
repo_url |
GitHub URL | Clone + draft PR workflow |
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 191 lines · 27 tokens per session scan A c56a61ab74a2
swe-af is a skill published in the GitHub repository Agent-Field/SWE-AF (989 stars, last pushed 9d ago), licensed Apache-2.0. It adds 27 tokens to every session and 1,585 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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