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/nimrobo/superdense/outcome-setupnpx skills add Nimrobo/superdense --skill outcome-setupgit clone --depth 1 https://github.com/Nimrobo/superdenseWrote 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/nimrobo/superdense/outcome-setup)<a href="https://agentmods.dev/skills/nimrobo/superdense/outcome-setup"><img src="https://agentmods.dev/badge/skills/nimrobo/superdense/outcome-setup.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 | $0.00054 | $0.01160 |
| Opus 5 | $0.00027 | $0.00580 |
| Sonnet 5 | $0.00011 | $0.00232 |
| Haiku 4.5 | $0.00005 | $0.00116 |
Grade A, and why
outcome-setup 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.
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Outcome Setup
Set up one outcome folder as the control plane for improving a real-world outcome. Superdense remains the durable store for sessions, artifacts, externalization targets, and reward snapshots.
Read references/outcome-loop.md before writing or repairing files.
Outcome Packs
If the user asks to set up an outcome pack, resolve the pack before scaffolding files:
- Use
superdense outcome-pack get <exact-name>when the user provides an exact pack name such asx-reach. - Use
superdense outcome-pack search <keyword>when the user provides a descriptive name or fuzzy intent such as "X reach" or "landing page". - Use
superdense outcome-pack listwhen the available pack names are unknown. - Treat
listandsearchresponses as JSON. Use the returnednamefield as the exact name forget. - Treat
getas the source markdown for the pack's startinggoal.md,run.md, andgate.mdshape. - Adapt the fetched pack to the user's actual folder, target surfaces, analytics, guardrails, and constraints. Do not copy it blindly when local context contradicts it.
Workflow
- Locate or choose the outcome folder. One folder manages one outcome. It may sit above target repos/accounts.
- Inspect existing files and target surfaces before asking questions. Discover target repo conventions, analytics libraries, env patterns, and existing events from files and docs where possible.
- Ask the human only for non-discoverable intent or external access:
- north-star outcome and audience,
- guardrails and constraints,
- target surfaces such as repos, accounts, pages, campaigns, or dashboards,
- acceptable analytics access and any required human setup.
- Create or repair only the small fixed core:
goal.mdrun.mdgate.mdruns/
- Put the scaffold under git. If the outcome folder is already inside a parent git work tree, commit the new files there. Otherwise run
git initin the outcome folder. Then stage and commit the scaffold, for examplegit add goal.md run.md gate.md runs/ && git commit -m "outcome: scaffold <outcome-name>". - Do not create
metrics.md,hypotheses.md, orexperiments.md. Durable measurement results belong in Superdense reward snapshots; structured hypotheses and experiment verdicts belong in Superdense throughsuperdense hypothesis ...andsuperdense experiment .... - In
run.md, scaffold the lever portfolio fields fromreferences/outcome-loop.md: lever status, pull count, latest reward summary, uncertainty, last pulled, and Pareto-best dimension or guardrail. Also scaffold the Selection Policy with target explore ratio, explore triggers, exploit triggers, tie-break, and keep rule. - Put measurement definitions, diagnostics, event names, source systems, and instrumentation checklist in
run.md. - Define
gate.mdas reusable completion policy, not a per-run checklist. Include the standard sections fromreferences/outcome-loop.md:# Gate,## Completion Rules,## Required Checks,## Warning Checks, optional## Gate Phases,## Deterministic Checks, and## Failure Policy. It may be operationally empty when no checks are known yet; mark lists asnone configuredinstead of inventing fake checks. - Add local deterministic check scripts only when this outcome needs them. Keep them inside the outcome folder, reference them from
gate.md, and do not add bundled or generic script templates. - If analytics/instrumentation is missing and the target repo is available, implement the smallest viable instrumentation in that target repo after inspecting local conventions. Never commit private credentials. Treat public client tokens according to target repo conventions.
- If external account setup is required, pause with a concrete checklist for the human. Continue once the human provides access or confirms setup.
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 · 61 lines · 54 tokens per session scan A e9b96ee1398b
outcome-setup is a skill published in the GitHub repository Nimrobo/superdense (85 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 54 tokens to every session and 1,160 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 2026-08-30.
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