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dr12hes

Engrm Delivery Review

by dr12hes · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install engrm-delivery-review
Description
Use Engrm to compare what was asked, what was promised, and what evidence suggests was actually delivered.
README (SKILL.md)

Engrm Delivery Review

Use this skill when the user wants to know whether the agent really delivered what it claimed, or when a session may have drifted from the original brief.

Before you start

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

If Engrm is not available, say that Delivery Review cannot use Engrm on this machine yet and continue without inventing setup or shell instructions.

Command guardrails

Do not invent Engrm CLI commands such as engrm search, engrm save, or engrm timeline.

Use Delivery Review as an Engrm workflow and memory discipline, not as a made-up shell command surface.

What this skill is for

  • Compare the brief, plan, and decisions against the session outcome.
  • Spot partial delivery, scope drift, or refactor-heavy sessions.
  • Surface weak decision trails and likely follow-up risk.
  • Turn sessions into accountable project history instead of vague timelines.

When to use it

Use this skill when:

  • the agent says work is done and confidence needs verifying
  • the user suspects partial delivery
  • the session touched many files but produced unclear outcome evidence
  • later work reopened an area that was supposedly finished
  • a refactor may have displaced the original goal

Delivery Review questions

  • What was the user actually asking for?
  • What plan did the agent commit to?
  • What decisions were captured?
  • What evidence of delivery exists?
  • What still looks missing, weak, or reopened?

Review lenses

Look for these patterns:

  • delivered as planned
  • partially delivered
  • scope drifted
  • refactor instead of delivery
  • built without a clear decision trail
  • reopened after completion

Strong evidence

Good evidence includes:

  • concrete implementation activity tied to the brief
  • decisions followed by matching changes
  • later sessions not needing to reopen the same work
  • clear memory entries that explain why the work was done

Weak evidence includes:

  • lots of movement with little outcome clarity
  • vague completion language
  • decisions with no matching implementation trail
  • later sessions repairing or redoing the same area

What to save after review

Save:

  • the real outcome
  • the main gap or drift
  • the lesson future sessions should know first

Do not save a flattering summary if the evidence is mixed. Prefer truthful, useful review over optimistic narration.

Usage Guidance
This skill is low-risk: it’s a checklist/workflow for reviewing session delivery and only works if Engrm is already connected. Before installing, confirm you trust the Engrm integration (the skill relies on it but does not set it up), and be aware that the review will operate over whatever session history/memory the agent has access to — avoid exposing new sensitive data to the agent during review. Because it’s instruction-only and requests no credentials, there is no additional installation footprint or network endpoint to vet.
Capability Analysis
Type: OpenClaw Skill Name: engrm-delivery-review Version: 0.1.0 The skill bundle contains instructions for an AI agent to perform project delivery reviews and identify scope drift using a tool called Engrm. The files (SKILL.md, README.md) focus entirely on workflow discipline and session accountability without any executable code, suspicious shell commands, or requests for sensitive data.
Capability Assessment
Purpose & Capability
Name/description match the instructions: the skill is explicitly a review workflow that uses Engrm if already present. It does not request unrelated credentials, binaries, or files.
Instruction Scope
SKILL.md confines behavior to using Engrm when available, forbids inventing CLI commands or performing setup, and focuses on comparing brief/plan/decisions/evidence. It does not instruct reading unrelated system files or exfiltrating data.
Install Mechanism
No install spec and no code files — instruction-only skill with no downloads or filesystem writes.
Credentials
Requires no environment variables, no credentials, and no config paths. The only external dependency is the presence of Engrm in the environment, which is explicitly referenced.
Persistence & Privilege
always is false and the skill does not request elevated or persistent privileges. It does not modify other skills or system settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install engrm-delivery-review
  3. After installation, invoke the skill by name or use /engrm-delivery-review
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial Engrm delivery review skill release
Metadata
Slug engrm-delivery-review
Version 0.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Engrm Delivery Review?

Use Engrm to compare what was asked, what was promised, and what evidence suggests was actually delivered. It is an AI Agent Skill for Claude Code / OpenClaw, with 163 downloads so far.

How do I install Engrm Delivery Review?

Run "/install engrm-delivery-review" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Engrm Delivery Review free?

Yes, Engrm Delivery Review is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Engrm Delivery Review support?

Engrm Delivery Review is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Engrm Delivery Review?

It is built and maintained by dr12hes (@dr12hes); the current version is v0.1.0.

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