Install
$ agentstack add skill-mr-fang-vlsi-edagent-control-theory-veto ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Control Theory Veto
Overview
This skill protects the loop from executing invalid ideas just because they are executable. It evaluates proposal validity against theory, known constraints, and policy, then emits a veto decision.
When to run
Run before:
- launching large/long job batches,
- changing objective/cost model assumptions,
- making algorithmic comparison claims,
- introducing new route/CTS/PDN policy that may break prior assumptions.
Inputs
Required:
- current user proposal (one-paragraph objective),
- relevant artifacts (latest summary/gate/monitor),
- KB references used by the proposal.
Recommended:
- primary-source/web references when assumptions may drift.
- recent experience-layer artifacts from
eda-experiment-phenomenology-analystwhen similar proposals have already been attempted.
Background Knowledge Links
This skill is only valid when its veto logic is linked to explicit background knowledge:
- relevant KB policy and physics notes,
- local paper-derived evidence when the proposal touches theory or model assumptions,
- scoped retrieval from
eda-context-accessorwhen the needed KB or paper context is missing from the current brief. - repeated empirical experience patterns when the proposal resembles prior failed or weak-information branches.
If a proposal conflicts with linked background knowledge, the veto must say so explicitly rather than treating the conflict as a generic risk.
Decision output contract
Always output:
verdict: GO / CONDITIONAL / NO-GOblocking_reasons: numbered listassumption_table: assumption, evidence, statusexperience_risks: repeated empirical patterns that materially changed the verdict, ornonesafe_next_step: one minimal testable actionoverride_policy:
- NO-GO can be bypassed only with explicit user override.
- when override happens, mark run as
veto_overridden.
Operational References
- Load
references/background-knowledge-links.mdwhen deciding which KB docs, paper summaries, or scoped retrieval outputs are authoritative for the current proposal. - Load
references/veto-criteria.mdwhen classifying contradiction severity or deciding whether the result is GO, CONDITIONAL, or NO-GO. - Load
references/decision-template.mdwhen writing the final veto artifact.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Mr-Fang-VLSI
- Source: Mr-Fang-VLSI/EDAgent
- License: MIT
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.