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 gabors-data-analysis/da-w-ai --skill decision-loggit clone --depth 1 https://github.com/gabors-data-analysis/da-w-aiWrote 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/gabors-data-analysis/da-w-ai/decision-log)<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.
<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>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 | $0.00096 | $0.00738 |
| Opus 5.5 | $0.00038 | $0.00295 |
| Sonnet 5.5 | $0.00019 | $0.00148 |
| Haiku 4.5 | $0.00010 | $0.00074 |
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.
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:
evidencea check was run (name the file or the numbers)conventioncommon practice in the field (name the source)userthe researcher asked for it (give the date)defaultchosen for convenience, not tested. This label is the most useful one for the reviewer, because it shows where to look first.
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.
- 6d ago First seen · 63 lines · 96 tokens per session scan A 7a07b1040f76
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.
decision-log compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| decision-loggabors-data-analysis/da-w-ai | Skill | 22 | yesterday | MIT | A | 96 | Claude Code, Codex |
| anatomy-quiz-masteraipoch/medical-research-skills | Skill | 2.0k | 1mo ago | MIT | A | 17 | Claude Code, Codex |
| anki-card-creatoraipoch/medical-research-skills | Skill | 2.0k | 1mo ago | MIT | A | 32 | Claude Code, Codex |
| dei-statement-drafteraipoch/medical-research-skills | Skill | 2.0k | 1mo ago | MIT | A | 19 | Claude Code, Codex |
| faq-generatoraipoch/medical-research-skills | Skill | 2.0k | 1mo ago | MIT | A | 38 | Claude Code, Codex |
| bianqueaipoch/medical-research-skills | Skill | 2.0k | 1mo ago | MIT | A | 108 | Claude Code, Codex |
| mendelaipoch/medical-research-skills | Skill | 2.0k | 1mo ago | MIT | B | 135 | Claude Code, Codex |