Engrm Memory

v0.1.0

Use Engrm memory deliberately before coding, during coding, and when saving reusable lessons.

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for dr12hes/engrm-memory.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Engrm Memory" (dr12hes/engrm-memory) from ClawHub.
Skill page: https://clawhub.ai/dr12hes/engrm-memory
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install engrm-memory

ClawHub CLI

Package manager switcher

npx clawhub@latest install engrm-memory
Security Scan
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Benign
high confidence
Purpose & Capability
Name and description match the instructions: the skill guides use of an external memory system (Engrm). It requests no unrelated binaries, env vars, or config paths — nothing appears extraneous for this purpose.
Instruction Scope
SKILL.md confines itself to recommending when to read or save memory and explicitly forbids inventing Engrm CLI commands or fake setup steps. It does not instruct reading arbitrary files, exfiltrating data, or calling unexpected endpoints. It relies on Engrm being available but does not describe any out-of-scope data collection.
Install Mechanism
No install spec or code files — instruction-only skill, so nothing is written to disk or downloaded.
Credentials
No environment variables, credentials, or config paths are requested. This is proportional for a guidance-only skill that delegates actual memory access to existing infrastructure.
Persistence & Privilege
always is false and the skill does not request elevated or permanent platform privileges. Normal autonomous invocation is allowed (platform default) but the skill itself does not expand privilege.
Assessment
This skill is a set of usage rules for an external memory service (Engrm) and is internally consistent. Before installing or using it, confirm that you actually have a trusted Engrm integration available in your environment (the skill assumes an existing connection and forbids inventing access methods). Consider privacy implications of saving project memories — ensure saved items don't contain secrets or proprietary data, and verify which agent or service will perform the actual memory reads/writes. If your environment lacks Engrm, the skill advises to continue without attempting to fabricate access.

Like a lobster shell, security has layers — review code before you run it.

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158downloads
0stars
1versions
Updated 1mo ago
v0.1.0
MIT-0

Engrm Memory

Use this skill when the user is working on an existing codebase and continuity matters more than a cold start.

Before you start

Use Engrm only if it is already connected and available in the current environment.

If Engrm is not available, say that Engrm memory is not connected on this machine and continue without inventing fallback commands or fake setup steps.

Command guardrails

Do not invent Engrm CLI commands like:

  • engrm search
  • engrm save
  • engrm timeline

Those are not normal Engrm CLI commands.

Memory search, timeline, save, recent activity, and stats are Engrm tool/workflow capabilities, not generic shell commands.

What this skill is for

  • Pull relevant prior knowledge into the current session.
  • Reuse past decisions, fixes, and discoveries before repeating work.
  • Save new knowledge when the session produces something worth carrying forward.
  • Make multi-device and multi-agent memory actually useful instead of passive.

When to use Engrm first

Use Engrm before coding when:

  • the user is resuming work after a break
  • a project or subsystem looks familiar
  • the task touches a bug, auth flow, deployment path, or refactor area that may have been handled before
  • the session starts on a different machine or with a different coding agent

Use Engrm during coding when:

  • the work starts drifting
  • you need to confirm an earlier decision
  • you suspect the same issue has already been solved elsewhere

Use Engrm after coding when:

  • a useful decision was made
  • a bugfix or pattern is likely to recur
  • the session discovered a real lesson that future work should start with

Default Engrm workflow

  1. Start by checking recent activity or searching relevant memory.
  2. Pull timeline or session context if the area has recent churn.
  3. Apply prior decisions before changing code.
  4. Save only high-signal outcomes, not every trivial step.

Good Engrm questions

  • What did we already learn about this area?
  • Was there an earlier decision for this approach?
  • Did a previous session touch the same files or subsystem?
  • Is there a recent bugfix or security note I should reuse?

Save high-signal memories

Prefer saving:

  • durable decisions
  • bugfixes with clear cause and resolution
  • discoveries that unblock later sessions
  • patterns worth reusing across projects

Avoid saving:

  • obvious implementation details
  • noisy or temporary dead ends
  • generic filler that will pollute retrieval later

What success looks like

The agent starts informed, reuses real project memory, and leaves behind a small number of valuable observations that improve the next session.

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