agentsclimarketplace

Public hearing triage

Skill jasontang-ai/acp/skills/public-hearing-triage

Use this flagship skill to run ACP's public-hearing triage denominator end to end across baseline, heuristic, recursive-engine, and scale-band evidence.From its SKILL.md

Install
npx -y skills add jasontang-ai/acp --skill public-hearing-triage

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 3 commands, including `scripts/run-public-hearing-triage.mjs` and 2 more.

SKILL.md

4.4 KB, 835 tokens by cl100k_base, as published. Nobody here has run it

What this skill is for

Use this skill for the flagship ACP domain scenario: turning overloaded public-hearing input into inspectable issue maps, routed briefings, critic evidence, and claim-safe artifacts.

Constitutional purpose

Demonstrate ACP's strongest civic denominator: overloaded public input routed into inspectable, claim-safe decision-support artifacts without pretending that benchmark evidence equals public legitimacy.

Failure modes targeted

  • Hearing overload collapsing into unreadable chronological accumulation
  • Minority-signal burial under dominant testimony repetition
  • Benchmark overclaiming about civic efficacy or legitimacy
  • Missing scale-boundary discipline

When to use it

  • Preparing Foresight or TAIGR-quality evidence.
  • Running public-hearing-triage benchmarks.
  • Demonstrating issue coverage, minority preservation, and scale-band behavior.

When not to use it

  • Do not use it for generic civic marketing.
  • Do not claim public opinion measurement.
  • Do not claim legal adequacy for hearings.

Inputs expected

  • Public-hearing scenario or benchmark class
  • Baseline and intervention condition requirements
  • Desired output directory
  • Claim boundary for review

Required evidence for valid use

  • Comparable baseline and intervention conditions
  • Benchmark outputs or rehearsal artifacts, not only domain rhetoric
  • Explicit claim boundary when packaging or summarizing results
  • Scale-band context when any scalability language is requested

Preflight / prerequisites

  1. Confirm public-hearing-triage remains the frozen denominator.
  2. Confirm baseline and intervention conditions are comparable.
  3. Confirm whether scale Band B or Band C evidence is required.
  4. Read limitations before drafting claims.

Workflow

  1. Run benchmark comparison.
  2. Run Engine V2 ablation when research evidence is needed.
  3. Run scale-band evidence when making scalability-path claims.
  4. Inspect issue maps, critic output, and limitations.
  5. Package artifacts with reviewer-facing notes.

Decision rules / judgment criteria

  • Preserve disagreement and unresolved questions.
  • Treat issue coverage as a review signal, not a legitimacy guarantee.
  • Benchmark evidence supports system behavior, not live civic efficacy.
  • S4 quality requires casebook, benchmark, operator, and adopter relevance.

Escalation rules

Escalate when baseline/intervention counts diverge, scale-band evidence is missing, critic outputs are absent, or requested claims exceed benchmark evidence.

Available scripts

  • scripts/run-public-hearing-triage.mjs: runs or points to the flagship benchmark and package surfaces.

Produced artifacts

  • Benchmark summary
  • Ablation summary
  • Scale-band summary
  • Claim-safe domain notes

Allowed claims

  • That the benchmark surfaces inspectable differences between baseline and intervention conditions
  • That the output is appropriate as decision-support or review infrastructure
  • That scale-band or ablation evidence remains bounded to what was actually run

Forbidden claims

  • That benchmark success proves real-world civic efficacy
  • That public-hearing triage measures public opinion or legal adequacy
  • That scale-band evidence proves institutional deployment readiness
  • That one benchmark resolves fairness or legitimacy concerns

Human override points

  • Claim approval before any public-facing scale or legitimacy language
  • Manual review when benchmark and critic evidence conflict
  • Maintainer approval before changing the frozen flagship denominator

Outputs

  • Benchmark summary
  • Ablation summary
  • Scale-band summary
  • Claim-safe domain notes

Failure handling

If any benchmark command fails, preserve the output and do not rewrite the denominator to fit the result.

Trust / safety notes

Public-hearing triage is institutionally sensitive. It must be framed as decision-support and review infrastructure, not sovereign mediation.

Composition notes

Use inside public-hearing-end-to-end and foresight-submission-prep.

Examples to inspect next

Read examples/casebook.md for flagship public-hearing cases and anti-claims.

Evaluation hooks

Run scripts/run-public-hearing-triage.mjs, npm run benchmark:compare -- --class public-hearing-triage, and npm run skills:audit.

What ships with it: 5 files

1.6 KB alongside SKILL.md, 1 of them executable

checklists/

evals/

examples/

references/

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.