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 agentmods add skills/szarkans/multi/adhdnpx skills add szarkans/multi --skill adhdgit clone --depth 1 https://github.com/szarkans/multiWhat 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 | $0.00124 | $0.02580 |
| Opus 5 | $0.00062 | $0.01290 |
| Sonnet 5 | $0.00025 | $0.00516 |
| Haiku 4.5 | $0.00012 | $0.00258 |
Grade A, and why
adhd scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wide ideas, several models
!sh -c 'for p in "$CLAUDE_PLUGIN_ROOT/scripts" "$HOME/.claude/skills/multi/scripts" "./.claude/skills/multi/scripts"; do [ -x "$p/probe.sh" ] && { "$p/probe.sh"; echo "scripts-dir: $p"; exit 0; }; done; echo "probe: NOT FOUND — locate scripts/probe.sh in this plugin and run it yourself"'
The first three answers a model gives are the answers a senior engineer gives in thirty seconds. Correct, forgettable. The interesting ones live past number three. Cognitive frames push one model out there; different model families start from different priors and land somewhere else again. This skill uses both axes at once and pays for one.
$SCRIPTS is whatever the probe printed as scripts-dir:.
Pre-flight
If the user typed /multi:adhd or asked for it by name, go. They opted in.
Otherwise abort and answer directly unless all three hold: the question has several viable answers, the obvious answer being wrong is expensive, and the user did not say "quick", "just", "standard", "canonical" or "one-line".
Phase 1 — diverge (no critic)
Pick 5 frames from the table. Bias to code/design tags for code-shaped
problems, always keep one wild for range. Vary the picks between runs so the
same problem gives a different pool the second time.
Hand each frame to a different backend, rotating. With all three alive:
| frame | backend |
|---|---|
| 1 | Claude sub-agent |
| 2 | Codex |
| 3 | OpenCode |
| 4 | Claude sub-agent |
| 5 | Codex |
Start the external models first — they take 30–90 seconds and OpenCode spends most of a minute waking up. Launch the Claude agents while they run.
RUN="$($SCRIPTS/run-dir.sh --slug <two-to-four words: the project and the job, e.g. skills-fixing-multi>)"
$SCRIPTS/ask.sh --question-file "$RUN/adhd-f2.md" --out-prefix "$RUN/adhd-f2" \
--backend codex --effort medium &
$SCRIPTS/ask.sh --question-file "$RUN/adhd-f3.md" --out-prefix "$RUN/adhd-f3" \
--backend "opencode:<model from probe>" --fallback <fallback model from probe> &
wait
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.
- 2d ago First seen · 195 lines · 124 tokens per session scan A 95e877b47ef6
adhd is a skill published in the GitHub repository szarkans/multi (8 stars, last pushed 2d ago), licensed MIT. It adds 124 tokens to every session and 2,580 once invoked, about $0.0006 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.
Other skills, from other repositories
agent-launcher-orchestrator
../../../agent-launcher/skills/agent-launcher-orchestrator/SKILL.md.
book-to-skill
../../../engineering/book-to-skill/skills/book-to-skill/SKILL.md.
agent-workflow-designer
../../../engineering/skills/agent-workflow-designer/SKILL.md.
ai-security
../../../engineering-team/skills/ai-security/SKILL.md.
skills-manager-cli
Drive the Skills Manager CLI (skm) to initialize the hub, adopt unmanaged skills, list/enable/disable skills per AI tool, and doctor/fix symlink sync. Use whenever the user or an agent needs to manage skills from a terminal, SSH session, CI job, or headless machine; when a skill is missing in Claude Code, Codex…
docs-check
CONTRIBUTOR TOOL - Validate plugin against latest Claude Code documentation. Catches breaking changes, deprecations, discovers new features. Run before releases or periodically. NOT part of the distributed plugin.