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 Dragoon0x/usemindit --skill mindit-contextgit clone --depth 1 https://github.com/Dragoon0x/useminditWrote 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/dragoon0x/usemindit/mindit-context)<a href="https://agentmods.dev/skills/dragoon0x/usemindit/mindit-context"><img src="https://agentmods.dev/badge/skills/dragoon0x/usemindit/mindit-context/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/dragoon0x/usemindit/mindit-context"><img src="https://agentmods.dev/badge/skills/dragoon0x/usemindit/mindit-context.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 | $0.00115 | $0.01213 |
| Opus 5.5 | $0.00046 | $0.00485 |
| Sonnet 5.5 | $0.00023 | $0.00243 |
| Haiku 4.5 | $0.00012 | $0.00121 |
Grade A, and why
mindit-context 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 2mo 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mindit-context
The fifth of the eight forces. Run this when the question is "who, when, where, in what state."
The force
Designs are usually shown in one state: the happy path, the desktop viewport, the freshly-onboarded user, the populated screen, the fast network. Real users never see that screen. They see the screen with no data, with a network error, on a phone in sunlight, on their fourth visit when they have forgotten how the product works, when they are tired, when they are trying to recover from a mistake.
Context asks: of all the states this screen will exist in, how many has the design accounted for?
When to run this
- The user shows only desktop mocks and the product is shipped on mobile too.
- The user mentions empty, loading, error, or offline states.
- The user mentions a persona, a user segment, or a specific use environment (one-handed mobile, dark mode, slow network, screen reader, kiosk).
- The user uses words like "what happens when," "edge case," "fallback," "first-time," "returning user."
- The user asks about onboarding, recovery flows, or recovery from mistakes.
How to analyze
-
Map the contexts. List every dimension that matters for this design:
- Audience: who, with what familiarity, with what motivation.
- Device and viewport: phones, tablets, desktops, larger; portrait/landscape.
- State: loading, empty, populated, error, partial, offline, slow, stale, locked, expired.
- Journey position: first visit, returning, mid-flow, post-completion, recovery.
- Environment: bright sun, noisy, mobile data, screen reader, voice assistant.
-
Identify which contexts the design has addressed. Compare the design against the list. Each context that has not been addressed is a finding.
-
Distinguish "not addressed" from "explicitly out of scope." Some contexts are intentionally not supported (e.g. tablet not a priority). That is a different finding than "we forgot mobile exists."
-
Score the criteria below.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 81 lines · 115 tokens per session scan A 171433b9f0a3
mindit-context is a skill published in the GitHub repository Dragoon0x/usemindit (2 stars, last pushed 6mo ago), licensed MIT. It adds 115 tokens to every session and 1,213 once invoked, about $0.0005 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 2026-08-31.
mindit-context compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mindit-contextDragoon0x/usemindit | Skill | 2 | 6mo ago | MIT | A | 115 | Claude Code, Codex |
| webgl-holographic-foilnexu-io/open-design | Skill | 106k | today | Apache-2.0 | A | 41 | Claude Code, Codex |
| html-ppt-hermes-cyber-terminalnexu-io/open-design | Skill | 106k | today | Apache-2.0 | A | 53 | Claude Code, Codex |
| html-ppt-taste-brutalistnexu-io/open-design | Skill | 106k | today | Apache-2.0 | A | 78 | Claude Code, Codex |
| visual-ralphYeachan-Heo/oh-my-codex | Skill | 34k | today | MIT | A | 52 | Codex |
| glance-canonical-layoutsandroid/skills | Skill | 10k | yesterday | Apache-2.0 | A | 56 | Claude Code |
| accessibilitymicrosoft/hve-core | Skill | 1.6k | today | MIT | A | 47 | Claude Code |