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ironclad

Reviews GitHub plan issues and pull requests with a panel of parallel subagent lenses.

Updated May 3, 2026
Search Tags:#code review#pull request#github#subagents#convergence#gh cli#plan review
One-click install
npx skills add https://github.com/Claudfather/clauDNA --skill ironclad-claudfather
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ironclad
Source: https://github.com/Claudfather/clauDNA/tree/main/skills/ironclad
Command: npx skills add https://github.com/Claudfather/clauDNA --skill ironclad-claudfather

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Plans and pull requests often ship with hidden blockers, scope drift, duplicated abstractions, or ignored prior art because a single reviewer cannot apply every critical lens at once. This Skill dispatches a panel of independent review lenses as parallel subagents against a GitHub Issue or PR, aggregates their findings, and posts a single deduplicated review comment with a convergence verdict. ## Core Features & Use Cases - Multi-lens panel review: Dispatches lenses such as first-principles, align-to-mission, extension-check, precedent-check, plan-health-audit, and cost-benefit as parallel subagents, each emitting structured findings. - Hardening loop for plans: With --loops N on a plan Issue, it repeats dispatch, folds findings back via forge --reforge, and re-checks convergence until no blockers and all decision forks are locked. - Single-lens and automation modes: --lens runs one lens for a focused report without posting a comment, and --auto emits a machine-parseable JSON structured-result block for CI or bot callers. - Use Case: Point it at a freshly drafted plan Issue with /claudna:ironclad <issue-url> --loops 3 to have the panel challenge the plan, re-forge it, and confirm convergence before implementation begins. ## Quick Start Ask the agent to run the ironclad review on a GitHub issue or PR URL, for example by saying: run ironclad on https://github.com/owner/repo/issues/42 with two hardening loops.

Frequently Asked Questions about ironclad

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I review a GitHub pull request with multiple review lenses?▼

Run the skill with the PR URL, for example /claudna:ironclad <pr-url>. It classifies the target, dispatches applicable lenses as parallel subagents, aggregates their findings, and posts one deduplicated review comment on the PR.

How do I harden a plan document before implementation?▼

Run the skill against the plan Issue URL with --loops N, such as --loops 3. Each cycle dispatches the lens panel, folds findings into the plan body via forge --reforge, and re-checks convergence until no blockers remain and all decision forks are locked.

What do I need installed to run this GitHub review workflow?▼

You need the GitHub CLI (gh) installed and authenticated. The skill runs gh auth status as a pre-flight check and stops immediately with an error if the CLI is not logged in, since every phase reads or writes GitHub through it.

Can I run just one review lens instead of the full panel?▼

Yes, use --lens <name> with a lens from the panel table, such as --lens cost-benefit. It dispatches only that lens and presents the structured report in the session without posting a comment or running a convergence check.

What happens when a review lens fails during a run?▼

Each failed lens is retried once as a fresh subagent. If the retry also fails, the run proceeds with partial results, and a single lens failure does not block the aggregated comment or the convergence decision.

Does this skill edit the plan or PR code directly?▼

No. It never authors the plan body or edits PR code; it only posts comments and orchestrates subagents. Plan body rewrites are delegated to a dispatched forge --reforge subagent, and code changes are left to humans or the build workflow.

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