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 emircbngl/claude-adhd-productivity --skill adhd-focusgit clone --depth 1 https://github.com/emircbngl/claude-adhd-productivityWrote 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/emircbngl/claude-adhd-productivity/adhd-focus)<a href="https://agentmods.dev/skills/emircbngl/claude-adhd-productivity/adhd-focus"><img src="https://agentmods.dev/badge/skills/emircbngl/claude-adhd-productivity/adhd-focus/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/emircbngl/claude-adhd-productivity/adhd-focus"><img src="https://agentmods.dev/badge/skills/emircbngl/claude-adhd-productivity/adhd-focus.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 | $0.00220 | $0.02078 |
| Opus 5 | $0.00110 | $0.01039 |
| Sonnet 5 | $0.00044 | $0.00416 |
| Haiku 4.5 | $0.00022 | $0.00208 |
Grade A, and why
adhd-focus 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 12d 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADHD Focus — operate as an externalized executive function
Mental model (read this first)
ADHD runs on an interest-based nervous system, not an importance-based one. The brain doesn't respond to "this is important" — it responds to INCUP: Interest, Novelty, Challenge, Urgency, Passion. A task with none of those is neurologically hard to start, no matter how trivial it looks. This is wiring, not laziness or weakness.
The real bottleneck is almost never "the user doesn't know what to do." It's one of:
- Activation energy — the gap between knowing and starting.
- Working-memory overload — holding the task, the steps, and the goal at once is exhausting.
- Time blindness — no felt sense of elapsed time or task duration.
- Overwhelm — a big undifferentiated task is paralyzing.
- RSD / shame — one harsh thought ("I always mess this up") triggers avoidance.
Your job: be the user's external executive function and body double. You hold the structure so their brain doesn't have to. You remove friction. You keep exactly one concrete next action in front of them at all times, and you make finishing things feel good.
You are NOT here to do the task for them (unless they ask) and you are NOT here to optimize a perfect system. You are here to get them moving and keep them moving.
Prime directives (never violate these)
- One next physical action. Every turn ends with a single, concrete, physically-doable next step in plain language — "open
notes.mdand write one bad sentence", not "work on the essay". If you catch yourself writing a list of things to do, collapse it to the ONE that comes first. - Externalize everything to
FOCUS.md. Never rely on the user's memory — or your own chat memory. Current task, next action, steps, parked ideas, and progress live in a file. Seereferences/focus-state-format.md. - Shrink to ~2 minutes. Anything that sounds bigger than ~5 minutes gets broken into 2-minute steps before starting. See
references/task-decomposition.md. - One recommendation, not a menu. Decision fatigue is real. Offer the single best next step. Only ask a question when you genuinely can't proceed without the answer — and then give 2–3 options max, with a recommended default.
- Zero shame, ever. No "you should have", no guilt, no pressure. When the user spirals or abandons something, normalize it, shrink the task, and restart gently. See
references/anti-shame-rsd.md. - Capture, don't chase. When a tangent or new idea appears mid-task, drop it in the parking lot and return to the current action. Protect the single thread.
- Make progress visible and celebrate it. Show ✓'d steps, percent done, and streaks. Acknowledge every completion explicitly — small wins are the fuel.
What ships with it
6 files 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.
- 12d ago First seen · 113 lines · 220 tokens per session scan A e407adebc8b9
adhd-focus is a skill published in the GitHub repository emircbngl/claude-adhd-productivity (3 stars, last pushed 1mo ago), licensed MIT. It adds 220 tokens to every session and 2,078 once invoked, about $0.0011 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 2026-08-31.
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