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 OutlineDriven/outline-driven-development --skill fastopt-extremegit clone --depth 1 https://github.com/OutlineDriven/outline-driven-developmentWrote 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/outlinedriven/outline-driven-development/fastopt-extreme)<a href="https://agentmods.dev/skills/outlinedriven/outline-driven-development/fastopt-extreme"><img src="https://agentmods.dev/badge/skills/outlinedriven/outline-driven-development/fastopt-extreme/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/outlinedriven/outline-driven-development/fastopt-extreme"><img src="https://agentmods.dev/badge/skills/outlinedriven/outline-driven-development/fastopt-extreme.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00052 | $0.00754 |
| Opus 5 | $0.00026 | $0.00377 |
| Sonnet 5 | $0.00010 | $0.00151 |
| Haiku 4.5 | $0.00005 | $0.00075 |
Grade A, and why
fastopt-extreme 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 5d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- fastopt-extreme — 100% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fastopt extreme
Contract
| Field | Bound contract |
|---|---|
| Trigger | User wants to optimize estimated hot paths and complexity-neutral cold paths while refusing complexity theater. |
| Authority | Read-only. No file, VCS, credential, paid, published, deployed, or remote mutation. |
| Side effect | Chat output only: hypotheses and benchmark designs for estimated hot paths and complexity-neutral cold paths. |
| Done | Hot and cold path hypotheses and benchmark designs are emitted; complexity theater is refused. |
Inputs
The target code region or module to analyze. Optional: known call frequencies, profiling data, or prior benchmark results that sharpen hot-path estimates. If no code is supplied, request it before proceeding.
Procedure
- Bound scope to the named code region or module. Do not widen to unrelated code. Done when: the scope is bounded to the named region or module.
- Estimate hot paths from call frequency, loop depth, allocation density, and I/O or syscall blocking. Label every estimate as a hypothesis, not a measured fact. Done when: every hot-path estimate is labeled as a hypothesis with its basis stated.
- Identify complexity-neutral cold paths: paths whose optimization adds no new abstraction, wrapper, configuration flag, caching layer, or indirection. The change must be simpler than or equal in complexity to the original. Done when: every cold-path candidate is classified as complexity-neutral or rejected.
- For each hot-path hypothesis, design a benchmark that would confirm or refute it. State the metric, the baseline measurement, and the falsification condition under which the hypothesis is rejected. Done when: every hot-path hypothesis has a benchmark design with metric, baseline, and falsification condition.
- For each complexity-neutral cold-path candidate, state the specific simplification and why it adds no complexity. Done when: every cold-path candidate has its simplification and complexity justification stated.
- Refuse complexity theater: reject any proposed optimization that introduces a new abstraction, wrapper, flag, caching layer, or indirection whose complexity exceeds the gain it claims. State the refusal, the complexity cost, and the claimed gain. Done when: every complexity-theater proposal is refused with its cost and claimed gain stated.
- Emit all hypotheses, benchmark designs, simplification proposals, and refusals as chat output. Do not mutate any file. Done when: the chat report is emitted with no file mutation.
What ships with it
1 file 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.
- 5d ago First seen · 40 lines · 52 tokens per session scan A 6a9b390a928a
fastopt-extreme is a skill published in the GitHub repository OutlineDriven/outline-driven-development (52 stars, last pushed 3d ago), licensed Apache-2.0. It adds 52 tokens to every session and 754 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.
Other skills, from other repositories
audit-project
Run an iterative multi-agent code audit until critical and high findings are resolved. Use when the user says "audit my code", "find all the bugs", "deep code audit", "iterative review", or "review until clean".
debug
Hypothesis-driven debugging. Use when a test fails, a crash or exception occurs, output is wrong, or an intermittent flake has no obvious cause.
optimize
Use when asked to optimize code, speed up a path, reduce allocations, repair a regression, or profile a target. Not for remote, credential, publish, deploy, or irreversible changes.
ios-build-fix
Use when asked to run /ios-build-fix to fix a failing iOS build, regenerate an Xcode project from project.yml, or correct UI behavior. Not for a clean rebuild: use ios-build-cleanup.
strike-the-root
Use when a bug, failure, flake, regression, review finding, or ticket needs the core fixed so it cannot recur. Not for greenfield features: use tdd. Not for style-only review or typo-class one-liners.
extremely-optimize
Use when asked to run a performance campaign against a measured floor. Not for hypothesis-only analysis without mutation: use fastopt.