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/tu11aa/squadrant/set-effortnpx skills add tu11aa/squadrant --skill set-effortgit clone --depth 1 https://github.com/tu11aa/squadrantWrote 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/tu11aa/squadrant/set-effort)<a href="https://agentmods.dev/skills/tu11aa/squadrant/set-effort"><img src="https://agentmods.dev/badge/skills/tu11aa/squadrant/set-effort.svg" alt="Measured on agentmods" 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 | $0.00040 | $0.00488 |
| Opus 5 | $0.00020 | $0.00244 |
| Sonnet 5 | $0.00008 | $0.00098 |
| Haiku 4.5 | $0.00004 | $0.00049 |
Grade A, and why
set-effort 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 3d 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.
What it actually says
squadrant:set-effort — Global Crew Effort Dial
The effort dial is a one-field toggle in ~/.config/squadrant/config.json that biases the captain's crew spawning decisions. It does not rewrite routing rules — it is a hint the captain honors when choosing agent/model for new crews.
Modes
| Mode | Meaning |
|---|---|
| max | Tokens are plentiful. Prefer claude/opus for crew spawns; don't downshift for cost. |
| balance | Normal. Use default crew routing rules unchanged. (Default when field is absent.) |
| low | Conserve tokens. Prefer opencode/sonnet for crews; reserve opus for work that genuinely needs it. |
Get current effort
squadrant effort
Prints the current mode and its one-line meaning. Does not write anything.
Set effort
squadrant effort max
squadrant effort balance
squadrant effort low
- Validates the value (errors with the 3 valid options if invalid).
- Writes
defaults.effortvia the existingsaveConfigatomic path. - Prints a confirmation line.
- Best-effort: sends a one-line notice to any running captain workspace so a live session adjusts immediately. If no captain is running, the change applies on next launch.
Manual edit (fallback)
If the CLI is unavailable, edit ~/.config/squadrant/config.json directly:
{
"defaults": {
"effort": "low"
}
}
Valid values: "max" | "balance" | "low". Absent field is equivalent to "balance".
Scope
Effort is crew-only. It does not affect captain, command, or side roles — those stay pinned to their configured model regardless of effort.
Precedence
Effort is the weakest signal. Explicit --agent / --model flags on squadrant crew spawn always win. Effort only biases the captain's default choice when nothing more specific applies.
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.
- 3d ago First seen · 60 lines · 40 tokens per session scan A 0aaee46547af
set-effort is a skill published in the GitHub repository tu11aa/squadrant (2 stars, last pushed 3d ago), licensed MIT. It adds 40 tokens to every session and 488 once invoked, about $0.0002 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
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…