decision-log

decision-log is a skill for Claude Code, Codex from gabors-data-analysis/da-w-ai. It costs 96 tokens per session (738 once invoked), scanned A, original, MIT.

A decision log that records important analytical choices in a DECISIONS.md file, such as how data is cleaned, variables are defined, or charts are designed.

In plain words
What is it for?
Use it during data cleaning, sampling, method selection, table merging, or chart design.
Why use it?
It preserves reasoning that would otherwise be hidden, so researchers can review choices that may affect the results.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it during data cleaning, sampling, method selection, table merging, or chart design.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gabors-data-analysis/da-w-ai/decision-log
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 gabors-data-analysis/da-w-ai --skill decision-log
Clone the repo
git clone --depth 1 https://github.com/gabors-data-analysis/da-w-ai

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 decision-log

README.md
[![agentmods](https://agentmods.dev/badge/skills/gabors-data-analysis/da-w-ai/decision-log/github.svg)](https://agentmods.dev/skills/gabors-data-analysis/da-w-ai/decision-log)
Your own site
<a href="https://agentmods.dev/skills/gabors-data-analysis/da-w-ai/decision-log"><img src="https://agentmods.dev/badge/skills/gabors-data-analysis/da-w-ai/decision-log/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 decision-log

Your own site · 80×15
<a href="https://agentmods.dev/skills/gabors-data-analysis/da-w-ai/decision-log"><img src="https://agentmods.dev/badge/skills/gabors-data-analysis/da-w-ai/decision-log.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 96 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 738 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 $0.00096 $0.00738
Opus 5.5 $0.00038 $0.00295
Sonnet 5.5 $0.00019 $0.00148
Haiku 4.5 $0.00010 $0.00074

Measured 6d ago against content hash 7a07b1040f76, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

decision-log 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 6d 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.

friendly-agentic-ai-intro/starter/skills/decision-log/SKILL.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Decision log

Every result rests on judgment calls the reader never sees. The researcher needs to check those calls before looking at results. This skill keeps them in one file, DECISIONS.md in the project folder, written as the decisions are made.

What to log

Log a decision when a reasonable analyst could have chosen differently AND the choice could change the results or how we read them. Examples:

  • dropping observations (missing values, outliers, small groups, a year or a country)
  • defining a variable (what counts as "employed", income in levels or logs, which year's prices)
  • merging tables (which key, what to do with rows that do not match)
  • choosing a method (mean or median, which regression, which controls)
  • designing an exhibit (what goes in the main chart, what is left out)

Do not log mechanical steps with no real alternative, or formatting.

Format

Create DECISIONS.md on first use. Keep a summary table on top and a short entry for each decision below it. Number entries D1, D2, ... and never renumber or delete them.

# Decision log

| ID | Date | Decision | Basis | Status |
|----|------|----------|-------|--------|
| D1 | 2026-11-06 | Drop respondents younger than 18 | user | decided |

## D1 - Drop respondents younger than 18
- **Decision point:** The survey includes 16-17 year olds; the question is about adult voters.
- **Chosen:** Keep age 18 and above (drops 412 of 9,870 rows).
- **Alternatives:** keep all (rejected: they cannot vote); keep 16+ (only where voting age is 16).
- **Basis:** user instruction, 2026-11-06.
- **Affects:** all tables and figures. Easy to reverse.

The Basis field matters most. Be honest about it:

  • evidence a check was run (name the file or the numbers)
  • convention common practice in the field (name the source)
  • user the researcher asked for it (give the date)
  • default chosen for convenience, not tested. This label is the most useful one for the reviewer, because it shows where to look first.

Read the full file on GitHub · 63 lines

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. 6d ago First seen · 63 lines · 96 tokens per session scan A 7a07b1040f76

Subscribe to this mod's changes

decision-log is a skill published in the GitHub repository gabors-data-analysis/da-w-ai (22 stars, last pushed yesterday), licensed MIT. It adds 96 tokens to every session and 738 once invoked, about $0.0004 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 2026-11-07.

Related

decision-log compared with skills from other repositories

decision-log next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
decision-loggabors-data-analysis/da-w-aiSkill22yesterdayMITA96Claude Code, Codex
anatomy-quiz-masteraipoch/medical-research-skillsSkill2.0k1mo agoMITA17Claude Code, Codex
anki-card-creatoraipoch/medical-research-skillsSkill2.0k1mo agoMITA32Claude Code, Codex
dei-statement-drafteraipoch/medical-research-skillsSkill2.0k1mo agoMITA19Claude Code, Codex
faq-generatoraipoch/medical-research-skillsSkill2.0k1mo agoMITA38Claude Code, Codex
bianqueaipoch/medical-research-skillsSkill2.0k1mo agoMITA108Claude Code, Codex
mendelaipoch/medical-research-skillsSkill2.0k1mo agoMITB135Claude Code, Codex