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SKILL verified Apache-2.0 Self-run

Omission Critic

skill-jasontang-ai-acp-omission-critic · by jasontang-ai

Use this skill to review whether ACP routing or digest outputs omit important issues, stakeholders, or unresolved questions.

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Install

$ agentstack add skill-jasontang-ai-acp-omission-critic

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

What this skill is for

Use this skill to catch missing issue coverage before a routed digest or briefing is released.

Constitutional purpose

Protect material issue coverage and minority-salience against compression loss, loud redundancy, and superficial completeness claims.

Failure modes targeted

  • Material issue omission
  • Stakeholder omission
  • Late-arriving or minority-salience signal burial
  • False completeness claims

When to use it

  • After routing but before digest release.
  • When Engine V2 reports missing issue clusters.
  • When a minority or late-arriving signal may have been buried.

When not to use it

  • Do not use it to add irrelevant material for balance theater.
  • Do not use it as a generic summarizer.
  • Do not redefine canonical ACP criteria.

Inputs expected

  • Cycle JSON or issue map
  • Contribution records
  • Routing decisions or digest items
  • Current omission critic output when present

Required evidence for valid use

  • Selected items and excluded-but-relevant material
  • Enough issue clustering evidence to compare coverage rather than guess
  • A concrete output under review, not only a vague concern about representativeness

Preflight / prerequisites

  1. Confirm the output under review is an intervention or briefing artifact.
  2. Identify the selected items and excluded-but-relevant items.
  3. Confirm available issue clusters and unresolved questions.

Workflow

  1. Compare selected items against issue clusters.
  2. Identify important missing issues and stakeholders.
  3. Check whether loud/redundant comments displaced useful dissent.
  4. Recommend release, revise, or escalate.

Decision rules / judgment criteria

  • Missing material issues matter more than perfect topical balance.
  • Late minority-salience contributions deserve explicit review.
  • Unresolved questions should survive compression when decision-relevant.

Escalation rules

Escalate when a missing issue affects the decision, when a stakeholder class is absent from selected items, or when the digest implies completeness without coverage.

Available scripts

  • scripts/smoke.mjs: emits the skill identity and expected review surfaces for audit and composition checks.

Produced artifacts

  • Missing issue list
  • Underrepresented stakeholder notes
  • Revise/release/escalate recommendation

Allowed claims

  • That specific issues or stakeholder signals appear missing relative to the supplied evidence
  • That release should pause because selected material overstates completeness
  • That redundancy displaced relevant dissent or unresolved questions

Forbidden claims

  • That every omitted item must be included for fairness theater
  • That omission review alone solves representativeness
  • That a missingness suspicion counts as proof without supporting evidence

Human override points

  • Materiality judgment on whether an omission changes the decision
  • Manual selection repair before release
  • Facilitator veto when completeness claims exceed coverage evidence

Outputs

  • Missing issue list
  • Underrepresented stakeholder notes
  • Revise/release/escalate recommendation

Failure handling

If issue-map evidence is missing, mark the review incomplete rather than inventing clusters.

Trust / safety notes

Omission critique can increase complexity. Use it to protect material coverage, not to force every voice into every digest.

Composition notes

Use with epistemic-routing, digest-and-explanation, and abstention-escalation.

Examples to inspect next

Read examples/casebook.md for omission review cases.

Evaluation hooks

Run scripts/smoke.mjs and npm run skills:audit.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.