knowledge-capture

knowledge-capture is a skill for Claude Code from aigentive/RalphX. It costs 70 tokens per session (805 once invoked), scanned A, original, Apache-2.0.

A tool for saving important project knowledge from a work session as scoped rule files. The files are placed under .claude/rules/ so they can guide later work in relevant parts of the project.

In plain words
What is it for?
Use it after discovering reusable project behavior, framework quirks, data flows, recovery procedures, or other details that would help future coding sessions.
Why use it?
It prevents valuable discoveries, recurring workarounds, and complex system details from being forgotten after a session. It also filters out one-off fixes and generic knowledge that do not need to be saved.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions Claude Code.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the ralphx plugin — 15 skills shipped together

Good fit Use it after discovering reusable project behavior, framework quirks, data flows, recovery procedures, or other details that would help future coding sessions.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add aigentive/RalphX
Claude Code
/plugin install ralphx

Made for: Claude Code.

Or install ralphx, the plugin that ships this one along with the rest of its 15 skills.

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 knowledge-capture

README.md
[![agentmods](https://agentmods.dev/badge/skills/aigentive/ralphx/knowledge-capture/github.svg)](https://agentmods.dev/skills/aigentive/ralphx/knowledge-capture)
Your own site
<a href="https://agentmods.dev/skills/aigentive/ralphx/knowledge-capture"><img src="https://agentmods.dev/badge/skills/aigentive/ralphx/knowledge-capture/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 knowledge-capture

Your own site · 80×15
<a href="https://agentmods.dev/skills/aigentive/ralphx/knowledge-capture"><img src="https://agentmods.dev/badge/skills/aigentive/ralphx/knowledge-capture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 805 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 $0.00070 $0.00805
Opus 5.5 $0.00028 $0.00322
Sonnet 5.5 $0.00014 $0.00161
Haiku 4.5 $0.00007 $0.00081

Measured 1mo ago against content hash 1878b16decda, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

knowledge-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 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.

plugins/app/skills/knowledge-capture/SKILL.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Knowledge Capture

Packages session learnings into scoped .claude/rules/ files.

Step 1: Read Framework Reference

Read the memory framework doc for knowledge capture criteria and format: ${CLAUDE_PLUGIN_ROOT}/memory-framework.md

Also fetch/refresh the official Claude Code memory docs (cached locally):

"${CLAUDE_PLUGIN_ROOT}/skills/rule-manager/scripts/rule-fetch-docs.sh"

Step 2: Evaluate Session

Review the current session's conversation to identify:

Worth Capturing

  • Complex multi-component interactions (e.g., "Component A triggers Event B which updates State C")
  • Error recovery procedures that took multiple attempts to resolve
  • Deep internal system knowledge (state machines, data flows, edge cases)
  • Framework/library quirks and workarounds (e.g., React ref equality, Tauri serialization)
  • Patterns that would save >15 minutes if known upfront next time

NOT Worth Capturing

  • One-off fixes unlikely to recur
  • Knowledge already documented in existing .claude/rules/ files
  • Generic programming knowledge (things Claude already knows)
  • Temporary workarounds that should be fixed properly
  • Simple bug fixes with obvious causes

If nothing worth capturing -> output "No significant learnings to capture." and stop.

Step 3: Classify Each Learning

For each learning worth capturing, determine:

3a. Scope (which files does it relate to?)

  • Identify the files that were involved in the discovery
  • Determine glob patterns that cover those files
  • Example: discovery about TaskGraph -> paths: ["src/components/TaskGraph/**"]

3b. Existing Rule Check

Run the audit script to see current rules:

"${CLAUDE_PLUGIN_ROOT}/skills/rule-manager/scripts/rule-audit.sh" --json

Check if any existing rule file covers the same domain:

  • If yes -> append to that file (add new ## section)
  • If no -> create new file

3c. Format Entry

Use the auto-memory style format:

## [Descriptive Title]
- **Problem**: What went wrong or was complex
- **Fix**: How it was resolved
- **File**: Key file paths involved (e.g., `src/components/TaskGraph/TaskGraphView.tsx`)
- **Pattern**: Reusable principle (if applicable)

Read the full file on GitHub · 109 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. 1mo ago First seen · 109 lines · 70 tokens per session scan A 1878b16decda

Subscribe to this mod's changes

knowledge-capture is a skill published in the GitHub repository aigentive/RalphX (5 stars, last pushed 24d ago), licensed Apache-2.0. It adds 70 tokens to every session and 805 once invoked, about $0.0003 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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