AgentStack
SKILL verified Apache-2.0 Self-run

Overload Governance

skill-jasontang-ai-acp-overload-governance · by jasontang-ai

Use this skill to enforce ACP digest size limits, bridge budgets, pacing, and bounded participant reading burden.

No reviews yet
0 installs
2 views
0.0% view→install

Install

$ agentstack add skill-jasontang-ai-acp-overload-governance

✓ 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.

Are you the author of Overload Governance? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

What this skill is for

Use this skill to keep ACP deliberation usable under load by checking digest size, bridge exposure, and reading burden before release.

When to use it

  • Reviewing a cycle config before routing or release.
  • Checking whether digest item counts exceed configured limits.
  • Interpreting overload metrics in benchmark or pilot evidence.

When not to use it

  • Do not use it for generic analytics.
  • Do not use it to suppress minority views solely because they add complexity.
  • Do not use it as a substitute for routing or fairness review.

Inputs expected

  • Cycle config
  • Digests or routing outputs
  • Participant count and contribution count
  • Optional benchmark metrics

Preflight / prerequisites

  1. Confirm configured maxDigestItems and maxBridgeItems.
  2. Confirm whether the cycle is baseline or intervention.
  3. Inspect the actual digest set, not only aggregate counts.

Workflow

  1. Count digest items per participant.
  2. Count bridge items per digest.
  3. Compare counts to cycle config.
  4. Look for repeated dominant-view items that consume attention budget.
  5. Recommend release, revise, or escalate.

Decision rules / judgment criteria

  • Hard config limits block release.
  • Bridge exposure must be bounded, justified, and not tokenistic.
  • Lower reading burden is not acceptable if it erases material issues.
  • Load governance must be paired with omission review.

Escalation rules

Escalate when digest budget is exceeded, bridge budget is exceeded, unresolved questions are dropped for space, or load reductions erase a minority signal.

Available scripts

  • scripts/check-load.mjs: inspect digest item counts and bridge counts against cycle load limits.

Outputs

  • Load budget assessment
  • Bridge budget assessment
  • Overload risk notes
  • Release/revise/escalate recommendation

Failure handling

If config is missing or invalid, stop and repair the cycle definition before judging release readiness.

Trust / safety notes

Load limits are constitutional constraints, not UX preferences. They must be explicit and inspectable.

Composition notes

Use with epistemic-routing, digest-and-explanation, and omission-critic in any high-volume workflow.

Examples to inspect next

Read examples/casebook.md for budget pass, budget failure, escalation, and anti-pattern cases.

Evaluation hooks

Run scripts/check-load.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

No reviews yet — be the first.

Versions

  • v0.1.0 Imported from the upstream source.