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open-steps

Skill Documents & Content Usable
Works inClaude Code
Usable Scanned — metadata only

Converts raw agent outputs into actionable documentation and reports, reducing handoff friction between automated systems and human stakeholders who need cle…

Skills that translate your coding agent's output into plain language: honest reports, straight verdicts, steps you can follow. MIT.

533 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Converts raw agent outputs into actionable documentation and reports, reducing handoff friction between automated systems and human stakeholders who need clear, auditable decision trails.

Engineering teams integrating AI coding agents who need human-readable summaries and step-by-step remediation guidance for stakeholders and compliance reviews.

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https://github.com/kharmanskyi/open-steps

By kharmanskyi

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install kharmanskyi/open-steps

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me generate step-by-step instructions from complex code analysis reports for non-technical stakeholders
CostFree

Trust Signals Auto-scanned

Stars533Contributors6Last updated2026-09-14LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-09-17 · scanner v1

Community Pulse Emerging

Discussed on Hacker News

1 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 128 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedAug 2026
Scored from trust signals (evidence-eval-v1): 128 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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