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 commands/jerrylalala/compound-engineering/slfggit clone --depth 1 https://github.com/Jerrylalala/compound-engineeringWrote 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/jerrylalala/compound-engineering/slfg)<a href="https://agentmods.dev/commands/jerrylalala/compound-engineering/slfg"><img src="https://agentmods.dev/badge/commands/jerrylalala/compound-engineering/slfg.svg" alt="Measured on agentmods" 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 | $0.00013 | $0.00275 |
| Opus 5 | $0.00006 | $0.00138 |
| Sonnet 5 | $0.00003 | $0.00055 |
| Haiku 4.5 | $0.00001 | $0.00028 |
Grade A, and why
slfg 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 4d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- slfg — 88% identical, 10 lines differ
What it actually says
Swarm-enabled LFG. Run these steps in order, parallelizing where indicated.
Sequential Phase
/ralph-wiggum:ralph-loop "finish all slash commands" --completion-promise "DONE"/workflows:plan $ARGUMENTS/compound-engineering:deepen-plan/workflows:work— Use swarm mode: Make a Task list and launch an army of agent swarm subagents to build the plan
Parallel Phase
After work completes, launch steps 5 and 6 as parallel swarm agents (both only need code to be written):
/workflows:review— spawn as background Task agent/compound-engineering:test-browser— spawn as background Task agent
Wait for both to complete before continuing.
Finalize Phase
/compound-engineering:resolve_todo_parallel— resolve any findings from the review/compound-engineering:feature-video— record the final walkthrough and add to PR- Output
<promise>DONE</promise>when video is in PR
Start with step 1 now.
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.
- 4d ago First seen · 33 lines · 13 tokens per session scan A 8c150ed02789
slfg is a command published in the GitHub repository Jerrylalala/compound-engineering (5 stars, last pushed 3mo ago), licensed MIT. It adds 13 tokens to every session and 275 once invoked, about $0.0001 per session on Opus 5. 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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clarify
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