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 mayank-io/mstack --skill adhdgit clone --depth 1 https://github.com/mayank-io/mstackWrote 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/mayank-io/mstack/adhd)<a href="https://agentmods.dev/skills/mayank-io/mstack/adhd"><img src="https://agentmods.dev/badge/skills/mayank-io/mstack/adhd/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/mayank-io/mstack/adhd"><img src="https://agentmods.dev/badge/skills/mayank-io/mstack/adhd.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 | $0.00376 | $0.03191 |
| Opus 5.5 | $0.00150 | $0.01276 |
| Sonnet 5.5 | $0.00075 | $0.00638 |
| Haiku 4.5 | $0.00038 | $0.00319 |
Grade A, and why
adhd 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.
This is a copy
92% identical to adhd — 52 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADHD
Stop picking the textbook answer. The first three answers the model would give are the answers a senior engineer would give in thirty seconds. Correct. Forgettable. The interesting answers live past number three, in the awkward middle nobody walks into. This skill makes the model walk there.
Pre-flight (run before Phase 1)
This skill is expensive. About 10 Agent calls, 30 to 90 seconds wall clock, 5 to 10x a single answer. Do not pay that cost when a direct answer is better. Run this gate before Phase 1.
Step 1. Explicit invocation check.
If the user typed /adhd or explicitly asked for ADHD mode, "use the
adhd skill", or "run ADHD on this", SKIP the rest of this section and go
straight to Phase 1. The user opted in. Do not second-guess.
Step 2. Self-judge (only if Step 1 did not match).
Ask yourself three questions. If the answer to any is no, ABORT.
- Open-ended? Would a senior engineer give multiple viable answers here, or is there one canonical answer? If canonical, abort.
- High-stakes? Is the cost of the obvious answer being wrong actually high? Architecture decisions, public API surfaces, naming a real product, fuzzy bugs with no known root cause, schema design = yes. Side project at 11pm = no.
- Open phrasing? Did the user avoid words like "quick", "standard", "canonical", "textbook", "just", "one-line"? If they used any of those, they want the direct answer. Abort.
If all three checks pass, proceed to Phase 1.
If any fails, ABORT and answer the question directly. Optionally append
one sentence: "If you want a wider exploration under parallel cognitive
frames with explicit trap detection, run /adhd <your problem>."
When to trigger (summary)
Strong signals to invoke:
- explicit
/adhd <problem>or "use ADHD mode" (unconditional) - "give me a few ways to…", "brainstorm…", "what are some approaches"
- "the obvious answer feels wrong", "I'm stuck on X"
- architecture or design decision on something that ships
- fuzzy bug, no known root cause, user wants hypothesis classes
- naming for a public product, API, SDK surface
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 · 264 lines · 376 tokens per session scan A bc821db683d5
adhd is a skill published in the GitHub repository mayank-io/mstack (6 stars, last pushed 3d ago), licensed MIT. It adds 376 tokens to every session and 3,191 once invoked, about $0.0015 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to adhd, differing in 52 lines, and is treated as a copy.
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