sensemaking

sensemaking is a skill for Codex from uchicago-dsi/ai-sci-skills. It costs 59 tokens per session (1,300 once invoked), scanned A, original, MIT.

A review habit for checking whether an observation or result is believable before relying on it or reporting it.

In plain words
What is it for?
It helps interpret findings, summarize progress, assess regressions, and decide whether an observation should change the plan.
Why use it?
It helps prevent conclusions based on misleading results by comparing them with a relevant reference and considering what could explain them.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit It helps interpret findings, summarize progress, assess regressions, and decide whether an observation should change the plan.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/uchicago-dsi/ai-sci-skills/sensemaking
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.

Any agent
npx skills add uchicago-dsi/ai-sci-skills --skill sensemaking
Clone the repo
git clone --depth 1 https://github.com/uchicago-dsi/ai-sci-skills

Made for: 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 sensemaking

README.md
[![agentmods](https://agentmods.dev/badge/skills/uchicago-dsi/ai-sci-skills/sensemaking/github.svg)](https://agentmods.dev/skills/uchicago-dsi/ai-sci-skills/sensemaking)
Your own site
<a href="https://agentmods.dev/skills/uchicago-dsi/ai-sci-skills/sensemaking"><img src="https://agentmods.dev/badge/skills/uchicago-dsi/ai-sci-skills/sensemaking/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.

agentmods 80×15 button for sensemaking

Your own site · 80×15
<a href="https://agentmods.dev/skills/uchicago-dsi/ai-sci-skills/sensemaking"><img src="https://agentmods.dev/badge/skills/uchicago-dsi/ai-sci-skills/sensemaking.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,300 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00059 $0.01300
Opus 5.5 $0.00024 $0.00520
Sonnet 5.5 $0.00012 $0.00260
Haiku 4.5 $0.00006 $0.00130

Measured 1mo ago against content hash fd261e7fb415, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

sensemaking 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 1mo 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/sensemaking/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Sensemaking

Use It As A Default Habit

  • Compose this skill with domain skills instead of replacing them.
  • Use it whenever you are about to trust, summarize, or act on a finding.
  • Default question: does this result actually make sense, and if so, what should change because of it?

Use This Output Contract

When using this skill, structure the reasoning as:

  1. Observation: what happened.
  2. Expected: what you thought would happen instead.
  3. Nearest reference: the baseline, sibling case, prior run, known-good path, or control.
  4. Best explanation: the most plausible mechanism right now.
  5. Falsifier: one observation that would seriously weaken that explanation.
  6. Decision impact: what changes, or why nothing changes.
  7. Baseline disposition: whether the nearest valid baseline remains active or has been superseded, and by what evidence.
  8. Falsification scope: the exact hypothesis or changed delta rejected, plus the parent method or unchanged components that remain live.

Apply These Rules

  • Separate observation from interpretation.
  • Compare against the nearest useful reference, not an abstract ideal.
  • Say why the chosen reference is the right baseline or control; if no fair baseline exists, weaken the conclusion.
  • Prefer mechanistic explanations over labels such as "noisy", "unstable", or "weird".
  • When the mechanism is spatial, temporal, structural, or artifact-like, inspect or create the nearest useful visual comparison instead of relying on scalar metrics alone.
  • Ask whether the finding is strong enough to change the next action.
  • If the result does not change the decision, say so explicitly.
  • If the result contradicts the current story, update the story.

Preserve The Best Baseline

  • Keep the best valid baseline active until a prospectively defined successor beats it on the same decision readouts.
  • Attribute a failure only to what changed relative to that baseline. Failure of an additive rescue rejects the rescue or combination, not the retained baseline.
  • Before pivoting, name the baseline, changed delta, result, exact hypothesis falsified, hypotheses not falsified, and retained active path.
  • Scope stop rules narrowly. Do not retire a successful parent method because a broader extension or challenger failed unless that parent was directly retested and failed.

Read the full file on GitHub · 122 lines

Files

What ships with it

2 files 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. 1mo ago Changed · +44 lines fd261e7fb415
  2. 1mo ago First seen · 78 lines · 59 tokens per session scan A 367837942ebb

Subscribe to this mod's changes

sensemaking is a skill published in the GitHub repository uchicago-dsi/ai-sci-skills (20 stars, last pushed 4d ago), licensed MIT. It adds 59 tokens to every session and 1,300 once invoked, about $0.0002 per session on Opus 5.5. 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.

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