Adhd Output Style — Design skill for Claude Code
AUDHD output style for Claude Code + the blind paired eval harness that gates style changes on correctness.
How to install Adhd Output Style
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open assafkip/adhd-output-style and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Adhd Output Style does
AUDHD output style for Claude Code + the blind paired eval harness that gates style changes on correctness.
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README
adhd-output-style
A Claude Code output style for ADHD readers, plus the eval harness that proves it doesn't make answers worse.
I run agent systems all day. Most "be concise" styles solved the wrong problem for me: the issue was never length, it was demands that trigger shutdown, criticism that lands on identity instead of the work, options that aren't real, and answers whose next action is buried. This style encodes what a year of daily use kept: four profiles running at once (PDA, RSD, ADHD executive function, ASD structure), a choice-architecture contract, a dismissal rule, and a debug-spiral brake.
The part I haven't seen elsewhere: the style ships with a release gate. A style edit is a claim that responses got better. Claims get tested. The harness runs each eval case with and without the style, has a judge score the pair blind (labels A/B, order flipped per case, condition names never shown), and fails the gate if correctness or safety drop more than 0.1 against baseline -- even when the overall weighted score improves. A style that trades correctness for tone is exactly the regression this catches.
Install the style
Copy `output-styles/adhd.md` into your project or user config:
mkdir -p ~/.claude/output-styles
curl -o ~/.claude/output-styles/adhd.md \
https://raw.githubusercontent.com/assafkip/adhd-output-style/main/output-styles/adhd.md
Then pick it in Claude Code with `/output-style adhd`.
Run the evals
Free checks first:
python3 evals/run_evals.py validate # case file sanity
python3 -m unittest discover -s tests # harness logic, stubs only, no model calls
The paid run (needs the `claude` CLI; about 3 model calls per case, 12 cases):
python3 evals/run_evals.py run
It writes `evals/results.jsonl` and prints the gate verdict. Re-score a saved run for free with `python3 evals/run_evals.py score evals/results.jsonl`.
Rubric weights: correctness .35, autonomy .25, actionability .20, safety .10,
Related Skills
Design Loop
Run the full design iteration loop (harness component 06): planner → generator → four machine gates → critic,
Bash Review
Bash/shell script review for safety, correctness, shellcheck compliance, and idiomatic style. Invokes the bash
Fugu Review
Fugu-style dry-run review — this session briefs 3 blind reviewers (haiku/sonnet/opus) + an opus verifier, who
Sync Figma Tokens
Re-run the Figma-to-code token sync — extract current Figma variables, rebuild code outputs via Style Dictiona
Claude Style Patch
A drop-in CLAUDE.md style section that changes how Claude writes prose.
Check Writing
Check writing against the writing-style rules. Reports findings; changes nothing.
Related Agents
Blind Evaluator
Structurally separate eval agent. Receives ONLY the problem statement + rubric, NEVER the solution or the impl
Arch Evaluator
Runs the eval harness against a newly generated plugin — skill trigger accuracy, agent delegation correctness,
Hcs Eval Reviewer
Reviews regression-trap quality and eval harness coverage for HCS. Ensures traps capture real failure classes