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 scarletkc/agents --skill scoped-changegit clone --depth 1 https://github.com/scarletkc/agentsWrote 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/scarletkc/agents/scoped-change)<a href="https://agentmods.dev/skills/scarletkc/agents/scoped-change"><img src="https://agentmods.dev/badge/skills/scarletkc/agents/scoped-change.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 24 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00069 | $0.01164 |
| Opus 5 | $0.00034 | $0.00582 |
| Sonnet 5 | $0.00014 | $0.00233 |
| Haiku 4.5 | $0.00007 | $0.00116 |
Grade A, and why
scoped-change 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 8d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scoped Change
A change has one correct size and the request defines it. Overshooting and undershooting are the same failure — a boundary that was never located — and they fail differently: unrequested edits surface in review or in production, missing edits surface as the user finding them. Locate the boundary first, then be exhaustive inside it and inert outside it.
When the boundary is corrected mid-task, the result reads as though the
corrected scope were the only one there had ever been. A title, comment, or
rationale that keeps the dropped option alive re-imports the overshoot the
correction just removed, and the reader pays for it twice; what belongs in a
deliverable is
ux-writing.
Outside the boundary
- Edit only the surfaces the request names. A request that names one layer is a request about that layer, and the neighboring layers stay untouched even when they look wrong. Report what you noticed instead of fixing it; a separate observation is cheap, an entangled diff is not. Counter-example: asked to adapt a backend endpoint to an existing signup form, an agent redesigned the form too, and the reviewer had to pull the two apart before either could ship.
- Compatibility is a cost, and someone must already be paying it. Migrations, dual-read paths, deprecated aliases, and version shims are correct only when real users hold the old state. Establish that they exist before writing one; when they don't, a clean break is the smaller change. This is a question of fact, not caution. Counter-example: an unreleased product with no installed base got a save-format migration path for data no user had ever written, and the dead branch still had to be maintained and tested.
- Reuse the existing implementation; never add a second one beside it. If the project already renders this panel, formats this message, or awards this promotion, extend that path. A parallel implementation that looks correct is worse than an obvious gap, because it diverges silently and nothing fails when it does. Counter-example: a new promotion banner was written from scratch next to the existing level-up banner; a release later only one of them had the new animation.
- Prefer changing an existing rule to adding one next to it. A new constant, flag, or branch that coexists with the rule it was meant to replace leaves two sources of truth and doubles the states to reason about. Counter-example: a request to restrict upgrades to a single branch arrived as a new second rule constant; narrowing the meaning of the original constant was the entire change.
- Solve the stated problem, not its general form. Extension points, plugin layers, and configuration surfaces are worth building when a second caller exists, not when one is imagined. The simple implementation is the deliverable unless the request asked for the general one.
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.
- 8d ago First seen · 93 lines · 69 tokens per session scan A f639d5bcc49c
scoped-change is a skill published in the GitHub repository scarletkc/agents (191 stars, last pushed 2d ago), licensed Apache-2.0. It adds 69 tokens to every session and 1,164 once invoked, about $0.0003 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 2026-08-30.
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