Miroprism

PassAudited by ClawScan on May 1, 2026.

Overview

MiroPRISM is a coherent instruction-only multi-agent review protocol; the main things to notice are that it shares reviewed material among subagents and saves local review logs.

This skill appears safe to install as an instruction-only review workflow. Before using it, make sure the documents or code you review are appropriate for multi-agent model processing, redact secrets, and keep the generated analysis/miroprism files out of public commits.

Findings (3)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

What this means

Private design, code, or security-review details may be shown to several model subagents instead of just one.

Why it was flagged

The design intentionally broadcasts Round 1 findings to multiple reviewers in Round 2, creating an inter-agent communication flow. This is central to the protocol and disclosed, but users should know their review material and findings are shared among subagents.

Skill content
R2 — Every reviewer responds to every finding: AGREE (cite evidence), DISAGREE (cite contradiction), or UNCERTAIN
Recommendation

Use MiroPRISM only for material you are comfortable sending through a multi-agent review, and redact secrets before invoking it.

What this means

Review outputs and cited project details can remain in local analysis files after the run.

Why it was flagged

The protocol stores intermediate reviewer outputs, digest logs, digests, Round 2 outputs, and final synthesis files. This persistence is disclosed and useful for the review workflow, but those files may retain sensitive project details.

Skill content
analysis/miroprism/
  runs/<slug>/
    r1-outputs/
    R1-digest-log.md
    r1-digest.md
    r2-outputs/
  archive/<slug>/
    YYYY-MM-DD-review-N.md
Recommendation

Treat the analysis/miroprism directory as sensitive, avoid committing it accidentally, and delete or protect it when reviewing confidential artifacts.

What this means

A weak or misleading Round 1 finding could still influence later reviewers and the final synthesis.

Why it was flagged

The artifact itself acknowledges that the shared Round 2 digest can influence downstream reviewers. The protocol includes mitigations such as sanitization, randomization, and evidence requirements, so this is a disclosed design limitation rather than a mismatch.

Skill content
Reduces cascade sycophancy — does not eliminate it; the shared digest can still anchor R2 reviewers
Recommendation

For high-stakes reviews, use the optional digest review pause and independently inspect final high-confidence findings before acting on them.