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 EvoClaw/amplify --skill scope-controlgit clone --depth 1 https://github.com/EvoClaw/amplifyWrote 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/evoclaw/amplify/scope-control)<a href="https://agentmods.dev/skills/evoclaw/amplify/scope-control"><img src="https://agentmods.dev/badge/skills/evoclaw/amplify/scope-control/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/evoclaw/amplify/scope-control"><img src="https://agentmods.dev/badge/skills/evoclaw/amplify/scope-control.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 | $0.00028 | $0.00587 |
| Opus 5.5 | $0.00011 | $0.00235 |
| Sonnet 5.5 | $0.00006 | $0.00117 |
| Haiku 4.5 | $0.00003 | $0.00059 |
Grade A, and why
scope-control 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.
How it starts
The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scope Control (Meta-Control Layer)
Overview
A focused paper with 1–2 strong contributions beats a scattered paper with 5 weak ones. This skill can trigger at ANY phase when scope expansion is detected.
Core principle: Focus is a feature. Scope creep is a bug.
Violating the letter of this rule is violating the spirit of this rule.
Trigger Conditions
Any ONE of these activates this skill:
- Contribution points or innovation claims exceed 2
- Experiment matrix is exploding (too many method × dataset × setting combinations)
- Story line is splitting into unrelated threads
- Time or resource budget is being exceeded
- User adds "one more thing" that substantially changes project scope
The Mandatory Response
When triggered, the agent MUST execute all four steps in order:
1. WARN: "Current scope may be too large for [target venue] as a single paper."
2. QUANTIFY: "Current experiment plan requires ~X GPU-hours. Budget is Y. Excess: Z%."
or "There are N contribution points. A focused paper typically has 1-2."
3. PROPOSE: Reduction options, prioritized:
a) Core contribution to keep
b) Items to defer to future work
c) Items to cut entirely
4. PRESENT: User decides. Agent cannot decide scope reduction on its own.
Skip any step = scope creep enabled = paper quality at risk
Rules
- The agent proposes reductions but never executes them without user approval.
- Deferred items go into an explicit "future work" log — they are not forgotten, just prioritized out.
- After user decides, update the plan and re-verify scope is within bounds.
Red Flags — STOP
- Adding a third major contribution
- Experiment table exceeding one page
- Story line requiring two separate introductions
- "Just one more baseline" appearing more than twice
- Resource estimate exceeding budget by more than 30%
Rationalization Prevention
| Excuse | Reality |
|---|---|
| "We can fit it all in" | Page limits exist. Reviewers penalize unfocused papers. |
| "Each piece is small" | Small pieces compound into confusion. |
| "We already did the work" | Sunk cost. Extra work that dilutes the paper hurts more than helps. |
| "The reviewer might ask for it" | Anticipate reviewers, but don't preemptively answer every possible question. |
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 · 74 lines · 28 tokens per session scan A a74d8333f04a
scope-control is a skill published in the GitHub repository EvoClaw/amplify (11 stars, last pushed 7mo ago), licensed MIT. It adds 28 tokens to every session and 587 once invoked, about $0.0001 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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