outcome-setup

outcome-setup is a skill for Claude Code, Codex from Nimrobo/superdense. It costs 54 tokens per session (1,160 once invoked), scanned A, original, Apache-2.0.

A setup method for an outcome loop, which is a folder and process for improving a measurable real-world result over time.

In plain words
What is it for?
Use it to create or repair the files that define an outcome loop, including goal.md, run.md, analytics, levers, target repositories or accounts, and the folder contract. It can also adapt an outcome pack to the user's situation.
Why use it?
It turns a broad improvement goal into a structured working area with goals, experiments, measurement, possible actions, target projects or accounts, and safeguards.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/nimrobo/superdense/outcome-setup
Any agent
npx skills add Nimrobo/superdense --skill outcome-setup
Clone the repo
git clone --depth 1 https://github.com/Nimrobo/superdense

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for outcome-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/nimrobo/superdense/outcome-setup.svg)](https://agentmods.dev/skills/nimrobo/superdense/outcome-setup)
Your own site
<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>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,160 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 5d ago against content hash e9b96ee1398b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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.

skills/outcome-setup/SKILL.md · 61 lines

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:

  1. Use superdense outcome-pack get <exact-name> when the user provides an exact pack name such as x-reach.
  2. Use superdense outcome-pack search <keyword> when the user provides a descriptive name or fuzzy intent such as "X reach" or "landing page".
  3. Use superdense outcome-pack list when the available pack names are unknown.
  4. Treat list and search responses as JSON. Use the returned name field as the exact name for get.
  5. Treat get as the source markdown for the pack's starting goal.md, run.md, and gate.md shape.
  6. 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

  1. Locate or choose the outcome folder. One folder manages one outcome. It may sit above target repos/accounts.
  2. 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.
  3. 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.
  4. Create or repair only the small fixed core:
    • goal.md
    • run.md
    • gate.md
    • runs/
  5. 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 init in the outcome folder. Then stage and commit the scaffold, for example git add goal.md run.md gate.md runs/ && git commit -m "outcome: scaffold <outcome-name>".
  6. Do not create metrics.md, hypotheses.md, or experiments.md. Durable measurement results belong in Superdense reward snapshots; structured hypotheses and experiment verdicts belong in Superdense through superdense hypothesis ... and superdense experiment ....
  7. In run.md, scaffold the lever portfolio fields from references/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.
  8. Put measurement definitions, diagnostics, event names, source systems, and instrumentation checklist in run.md.
  9. Define gate.md as reusable completion policy, not a per-run checklist. Include the standard sections from references/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 as none configured instead of inventing fake checks.
  10. 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.
  11. 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.
  12. If external account setup is required, pause with a concrete checklist for the human. Continue once the human provides access or confirms setup.

Read the full file on GitHub · 61 lines

Files

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.

Changes

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.

  1. 5d ago First seen · 61 lines · 54 tokens per session scan A e9b96ee1398b

Subscribe to this mod's changes

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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