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 skills add escoffier-labs/brigade --skill reducegit clone --depth 1 https://github.com/escoffier-labs/brigadeWrote 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/skills/escoffier-labs/brigade/reduce)<a href="https://agentmods.dev/skills/escoffier-labs/brigade/reduce"><img src="https://agentmods.dev/badge/skills/escoffier-labs/brigade/reduce/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/skills/escoffier-labs/brigade/reduce"><img src="https://agentmods.dev/badge/skills/escoffier-labs/brigade/reduce.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00079 | $0.01852 |
| Opus 5.5 | $0.00032 | $0.00741 |
| Sonnet 5.5 | $0.00016 | $0.00370 |
| Haiku 4.5 | $0.00008 | $0.00185 |
Grade A, and why
reduce 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 6d 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:
- reduce — 98% identical, 40 lines differ
How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
reduce
A reduction simmers a sauce to drive off the water and concentrate the flavor, and the dish tastes the same, only sharper. You do that to code: boil off the excess, concentrate the intent, and the behavior comes out identical. The cook who reduces too hard scorches the pan and changes the dish; the discipline is knowing when to pull it off the heat.
Core principle: same inputs, same outputs, same side effects, same errors, same public interface, same evaluation order. If the behavior moved, it was not a reduction, it was a rewrite. No behavior-preservation evidence, no applied simplification. Violating the letter of that is violating its spirit.
The behavior lock
Before you change a single line, establish the lock. This is the whole safety story; everything else is taste.
- Pin the scope. Default to the code that recently changed (see Scope). Know exactly which files and functions you are reducing before you start.
- Find the tests that cover it. Run them and confirm they exercise the code you are about to touch. If coverage is thin, write characterization tests first (taste) that capture the current behavior, edge cases included, only when that is safe and in scope. If you cannot lock the behavior with tests, drop to report mode.
- Baseline-verify green. Run the suite and read the output before touching anything. You are proving the starting point, not assuming it.
- Reduce in small steps, one category of simplification at a time (see What to reduce).
- Re-run the same verification after each meaningful change. Evidence in hand before any "behavior unchanged" claim (check). A reduction you did not re-run is a hypothesis.
- Cannot lock it? Switch to report mode or ask the user. Never apply a simplification you cannot prove safe.
Two modes
Apply is the default for recently changed code that has tests, or where characterization tests can be added safely. You make the edits, one category per commit, with the verification evidence.
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.
- 6d ago Changed 35bebd7531f8
- 1mo ago First seen · 108 lines · 79 tokens per session scan A 9164fb0b2070
reduce is a skill published in the GitHub repository escoffier-labs/brigade (81 stars, last pushed today), licensed MIT. It adds 79 tokens to every session and 1,852 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.
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