capture

A skill for saving the outcome of a technical discussion, meeting, or design conversation as a short project record. It keeps decisions, reasons, and rejected options instead of a full transcript.

In plain words
What is it for?
Recording meeting summaries, design decisions, standup outcomes, Slack huddles, and other discussions in a searchable project log.
Why use it?
It prevents important context from being lost in chat or meeting notes. Later, the team can understand why a decision was made.

Skill for Claude CodeCodex

Part of the wherefore plugin — 5 skills, 1 command shipped together

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/dustinvk/wherefore/capture
Any agent
npx skills add DustinVK/wherefore --skill capture
Clone the repo
git clone --depth 1 https://github.com/DustinVK/wherefore

Made for: Claude Code, Codex.

Or install wherefore, the plugin that ships this one along with the rest of its 5 skills, 1 command.

Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,259 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 $0.00118 $0.03259
Opus 5 $0.00059 $0.01630
Sonnet 5 $0.00024 $0.00652
Haiku 4.5 $0.00012 $0.00326

Measured 2d ago against content hash cd692516ec45, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

capture 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 2d 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.

plugins/wherefore/skills/capture/SKILL.md · 201 lines

How it starts

The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Wherefore: capture

Turn a raw or AI-generated discussion into one compact, retrievable wherefore entry. Preserve the useful residue (what was decided, why, and what was rejected), not a transcript. Months later, someone asking "why did we build it this way?" should get the answer in a few sentences.

No em dashes. Periods, commas, colons, semicolons, or parentheses instead. Firm project rule.

Never delete anything under a wherefore/ data dir. Retire, do not delete.

Writing style

The record must read well as a raw markdown file, not just in the dashboard. Editors and the GitHub blob view are where most people read it.

  • No em dashes anywhere. Use periods, commas, colons, semicolons, or parentheses. Firm project rule.
  • Decisions are verdict-led. Open each bullet with the ruling as a short standalone clause; put elaboration after it or in Why. Someone reading only the first clause of every bullet should still get the full outcome.
  • One decision per bullet. Split compound bullets.
  • Do not use inline bold to fake structure. The lead clause carries the scan. Bold scattered mid-sentence is the main cause of wall-of-text records. Reserve emphasis for a rare load-bearing term.
  • Keep sentences short and concrete.
  • Why is the single home for rationale. State the outcome in Decisions, the reasoning in Why. Do not scatter reasoning across decision bullets.
  • Unresolved threads are not decisions. They go to Open questions and become a numbered question (Q-NNN id, in a Q-NNN-short-slug.md file), never a Decisions bullet dressed as certainty.

Verdict-led, in practice:

  • Weak: "There are two fulfillment paths, direct and via inventory, and after weighing platform fit we lean toward starting inventory-based and moving to direct later."
  • Strong: "Start inventory-based, move to direct later. Two paths exist: direct (seller ships to buyer) and via inventory (trader stocks, then ships)."

Storage layout

All entries live under a repo-relative wherefore/ directory:

Read the full file on GitHub · 201 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. 2d ago First seen · 201 lines · 118 tokens per session scan A cd692516ec45

Subscribe to this mod's changes

capture is a skill published in the GitHub repository DustinVK/wherefore (1 stars, last pushed 1mo ago), licensed MIT. It adds 118 tokens to every session and 3,259 once invoked, about $0.0006 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 2026-08-31.

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