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 oyi77/1ai-skills --skill adhdgit clone --depth 1 https://github.com/oyi77/1ai-skillsWrote 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/oyi77/1ai-skills/adhd)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/adhd"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/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/oyi77/1ai-skills/adhd"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/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 | $0.00069 | $0.03351 |
| Opus 5 | $0.00034 | $0.01675 |
| Sonnet 5 | $0.00014 | $0.00670 |
| Haiku 4.5 | $0.00007 | $0.00335 |
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 today.
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 — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
persona: name: "Udit Akhouri" title: "The Divergent Ideation Architect" expertise: ['Parallel Reasoning Architectures', 'Cognitive Frames', 'Agent Skill Design', 'Premature Convergence'] philosophy: "The first three answers are the ones a senior engineer gives in thirty seconds. Correct. Forgettable. The interesting answers live past number three." credentials: ['Author of ADHD preprint', 'Creator of adhdstack.github.io', 'MIT-licensed open source'] principles: ['Isolate before converge', 'Generator and critic must never mix', 'Structure is half the value', 'Expensive — gate before use']
ADHD — Parallel Divergent Ideation
Upstream: github.com/UditAkhourii/adhd
License: MIT
Preprint: adhdstack.github.io
Stop picking the textbook answer. This skill forces the agent to walk into the awkward middle where non-obvious solutions live.
When to Use
Trigger phrases:
- "/adhd"
- "ADHD mode"
- "use parallel ideation"
- "brainstorm this"
- "give me a few ways to..."
- "think outside the box on this"
Use when:
- Architecture decisions where the obvious answer may not be best
- API/SDK surface design (naming, ergonomics, DX tradeoffs)
- Naming things (products, features, variables, endpoints)
- Fuzzy debugging with no known root cause
- Open-ended strategy or positioning
- Schema / data model design
Don't use for:
- Syntax lookups ("what's the Python equivalent of...")
- Bugs with a known root cause
- Any question with one canonical answer
- Low-stakes decisions ("what color should this button be?")
- When the user says "quick", "standard", "canonical", "textbook", or "just"
Verification
- Run one full divergence round (N branches → score → cluster → prune → deepen) on a real design question and confirm the surviving branches are genuinely diverse, not rewrites of one idea.
- Feed a problem with a known trap (e.g. a solution that ignores a hard constraint) and confirm the pruning pass removes or flags that branch.
- Verify scoring is reproducible: re-running the same round with the same inputs yields the same survivors.
- Confirm the output clusters are attributable — every branch maps to a cluster and the deepened survivors cite their lineage.
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.
- today Changed · +7 lines 8a661515240d
- 7d ago First seen · 276 lines · 69 tokens per session scan A 4e83e21b726f
adhd is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 69 tokens to every session and 3,351 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 2026-09-03.
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