speckit.memory-md.share-lesson

speckit.memory-md.share-lesson is a command for Claude Code from DyanGalih/spec-kit-memory-hub. It costs 20 tokens per session (595 once invoked), scanned A, original, MIT.

A command that promotes a reviewed technical or architectural lesson from a project’s local documentation into shared memory for other projects.

In plain words
What is it for?
Use it after documenting a reusable lesson about an implementation, database optimization, security constraint, language or framework.
Why use it?
It prevents useful solutions, security rules and recurring bug fixes from staying hidden in one project.

Command for Claude Code

Written for Claude Code: a Claude Code command (commands/*.md).

Good fit Use it after documenting a reusable lesson about an implementation, database optimization, security constraint, language or framework.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/dyangalih/spec-kit-memory-hub/speckit.memory-md.share-lesson
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.

Clone the repo
git clone --depth 1 https://github.com/DyanGalih/spec-kit-memory-hub

Made for: Claude Code.

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 speckit.memory-md.share-lesson

README.md
[![agentmods](https://agentmods.dev/badge/commands/dyangalih/spec-kit-memory-hub/speckit.memory-md.share-lesson/github.svg)](https://agentmods.dev/commands/dyangalih/spec-kit-memory-hub/speckit.memory-md.share-lesson)
Your own site
<a href="https://agentmods.dev/commands/dyangalih/spec-kit-memory-hub/speckit.memory-md.share-lesson"><img src="https://agentmods.dev/badge/commands/dyangalih/spec-kit-memory-hub/speckit.memory-md.share-lesson/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 speckit.memory-md.share-lesson

Your own site · 80×15
<a href="https://agentmods.dev/commands/dyangalih/spec-kit-memory-hub/speckit.memory-md.share-lesson"><img src="https://agentmods.dev/badge/commands/dyangalih/spec-kit-memory-hub/speckit.memory-md.share-lesson.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 595 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 $0.00020 $0.00595
Opus 5 $0.00010 $0.00298
Sonnet 5 $0.00004 $0.00119
Haiku 4.5 $0.00002 $0.00060

Measured 11d ago against content hash c6954a05d225, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

speckit.memory-md.share-lesson 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 11d 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.

commands/speckit.memory-md.share-lesson.md · 44 lines

What it actually says

Share Lesson

Promote an approved local lesson (e.g. database optimizations, security constraints, framework-specific gotchas) into the global cross-project shared memory.

This action is automatic based on your confidence score. Evaluate the proposed lesson for sharing. If your confidence is > 50% that it is highly reusable, automatically share it. If your confidence is <= 50%, ignore it. However, you must always allow the user to trigger this manually if they explicitly request it.

Use this when:

  • you have successfully implemented a complex feature or fixed a recurring bug
  • you have verified and written the lesson into a local memory file (e.g., decisions/, bugs/, architecture/)
  • the lesson has high reuse potential for other projects sharing the same language or framework

Tasks:

  1. Identify the local memory entry to promote:

    • ID: unique stable identifier (e.g., L12, A4)
    • Title: short descriptive title
    • Content: complete markdown body detail (context, decisions, implementation rules)
    • Tags: relevant keywords (e.g. auth,jwt,security)
    • Language: e.g., typescript, php, go
    • Framework: (optional) e.g., nestjs, laravel
  2. Step 2A — Write to Local Memory (if not already captured locally): Call speckit_memory_register to write the entry to your local docs/memory/ file and sync the local SQLite cache atomically:

    speckit_memory_register(id="<id>", title="<title>", tags="<tags>", file="<source_file>", projectRoot="<absolute_path_to_project>", content="<full markdown entry>")
    

    Step 2B — Promote to Global Shared Memory: Once captured locally, promote the lesson to the global cross-project cache using the MCP tool:

    MCP (Preferred):

    speckit_memory_share_lesson(id="<id>", title="<title>", content="<full content>", language="<lang>", framework="<fw>", tags=["<tag1>", "<tag2>"])
    

    ℹ️ Step 2A and 2B are separate operations. Step 2A writes to your local docs/memory/ and local SQLite. Step 2B writes to the global ~/.spec-kit/shared-memory.sqlite. Both steps are needed for a fully published lesson.

  3. Confirm that the lesson is successfully published to the global SQLite database. Reassure the user that the project's real directory path is fully anonymized (never shared or exported; represented globally only by a cryptographic hash).

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. 11d ago First seen · 44 lines · 20 tokens per session scan A c6954a05d225

Subscribe to this mod's changes

speckit.memory-md.share-lesson is a command published in the GitHub repository DyanGalih/spec-kit-memory-hub (15 stars, last pushed 3mo ago), licensed MIT. It adds 20 tokens to every session and 595 once invoked, about $0.0001 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 2026-08-30.