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/sifxprime/kodelyth-eccWrote 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/commands/sifxprime/kodelyth-ecc/gan-build)<a href="https://agentmods.dev/commands/sifxprime/kodelyth-ecc/gan-build"><img src="https://agentmods.dev/badge/commands/sifxprime/kodelyth-ecc/gan-build/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/commands/sifxprime/kodelyth-ecc/gan-build"><img src="https://agentmods.dev/badge/commands/sifxprime/kodelyth-ecc/gan-build.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 | $0.00012 | $0.00842 |
| Opus 5.5 | $0.00005 | $0.00337 |
| Sonnet 5.5 | $0.00002 | $0.00168 |
| Haiku 4.5 | $0.00001 | $0.00084 |
Grade A, and why
gan-build 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.
This is a copy
89% identical to gan-build — 5 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Parse the following from $ARGUMENTS:
brief— the user's one-line description of what to build--max-iterations N— (optional, default 15) maximum generator-evaluator cycles--pass-threshold N— (optional, default 7.0) weighted score to pass--skip-planner— (optional) skip planner, assume spec.md already exists--eval-mode MODE— (optional, default "playwright") one of: playwright, screenshot, code-only
GAN-Style Harness Build
This command orchestrates a three-agent build loop inspired by Anthropic's March 2026 harness design paper.
Phase 0: Setup
- Create
gan-harness/directory in project root - Create subdirectories:
gan-harness/feedback/,gan-harness/screenshots/ - Initialize git if not already initialized
- Log start time and configuration
Phase 1: Planning (Planner Agent)
Unless --skip-planner is set:
- Launch the
gan-planneragent via Task tool with the user's brief - Wait for it to produce
gan-harness/spec.mdandgan-harness/eval-rubric.md - Display the spec summary to the user
- Proceed to Phase 2
Phase 2: Generator-Evaluator Loop
iteration = 1
while iteration <= max_iterations:
# GENERATE
Launch gan-generator agent via Task tool:
- Read spec.md
- If iteration > 1: read feedback/feedback-{iteration-1}.md
- Build/improve the application
- Ensure dev server is running
- Commit changes
# Wait for generator to finish
# EVALUATE
Launch gan-evaluator agent via Task tool:
- Read eval-rubric.md and spec.md
- Test the live application (mode: playwright/screenshot/code-only)
- Score against rubric
- Write feedback to feedback/feedback-{iteration}.md
# Wait for evaluator to finish
# CHECK SCORE
Read feedback/feedback-{iteration}.md
Extract weighted total score
if score >= pass_threshold:
Log "PASSED at iteration {iteration} with score {score}"
Break
if iteration >= 3 and score has not improved in last 2 iterations:
Log "PLATEAU detected — stopping early"
Break
iteration += 1
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 · 105 lines · 12 tokens per session scan A b72a8671d14c
gan-build is a command published in the GitHub repository sifxprime/kodelyth-ecc (11 stars, last pushed 19d ago), licensed MIT. It adds 12 tokens to every session and 842 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to gan-build, differing in 5 lines, and is treated as a copy.
Other commands, from other repositories
toh-help
Display all Toh Framework commands and quick usage guide.
learn
Analyze the current session and extract any patterns worth saving as skills.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.