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 yeaight7/agent-powerups --skill context-minimizationgit clone --depth 1 https://github.com/yeaight7/agent-powerupsWrote 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/yeaight7/agent-powerups/context-minimization)<a href="https://agentmods.dev/skills/yeaight7/agent-powerups/context-minimization"><img src="https://agentmods.dev/badge/skills/yeaight7/agent-powerups/context-minimization/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/yeaight7/agent-powerups/context-minimization"><img src="https://agentmods.dev/badge/skills/yeaight7/agent-powerups/context-minimization.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 | $0.00040 | $0.00712 |
| Opus 5 | $0.00020 | $0.00356 |
| Sonnet 5 | $0.00008 | $0.00142 |
| Haiku 4.5 | $0.00004 | $0.00071 |
Grade A, and why
context-minimization 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Your context window is the most precious resource. Large contexts make you slow, expensive, and prone to hallucinations. Treat every token read or written as a cost, and apply a continuous discipline: read less, output less, keep the window lean.
When to Use
- Continuously during any long, multi-step task
- About to open a large file (hundreds or thousands of lines)
- A command is about to emit massive logs (installs, verbose builds)
- Responses are drifting into explanation and restatement
Inputs
- The current task and the files/commands it requires
- Awareness of which files are large enough to need targeted reads
Workflow
-
Before reading: search, do not slurp. Never read a 2,000-line file whole. Locate the relevant region first, then read only that range.
grep -n "functionName" src/module.ts # find the line numbersThen read only the surrounding window (e.g. lines 120-160), not the entire file.
-
While reading: parallelize, do not serialize. If you need to inspect 3 files, issue 3 reads/searches in a single turn rather than one per turn. Fewer turns means less context repetition.
-
When running commands: silence the noise. Suppress bulk output unless you need it to debug, and disable pagers so output is not re-printed.
npm install --silent # drop install chatter (-q on tools that use it) git --no-pager log -n 20 # no interactive pager some-build 2>/dev/null # discard stderr you do not need -
When outputting: stay terse. Do not explain what a tool does before calling it unless safety requires it. Do not repeat the user's instructions back verbatim. State the result, not the process.
-
After reading: close the file. Once you are done with a file, stop referring to it and do not re-read it. The harness already tracks what you have seen.
Output
- Targeted reads of only the needed line ranges
- Quiet, pager-free command invocations
- Concise responses with no restatement or pre-call narration
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.
- yesterday First seen · 65 lines · 40 tokens per session scan A dcc93a6c3671
context-minimization is a skill published in the GitHub repository yeaight7/agent-powerups (6 stars, last pushed 2d ago), licensed Apache-2.0. It adds 40 tokens to every session and 712 once invoked, about $0.0002 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 2026-09-14.
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