auto-decorrelation

Solid

Recruits cross-family verifier sidecars (codex, agy, local 4090 over Tailscale) for adversarial verification of load-bearing changes, maximizing model-family diversity against the orchestrator. Mechanically discovers the available sidecar panel, recruits at least one cross-family verifier when present, and degrades gracefully when none are. The governor (Claude) keeps the terminal verdict; sidecar findings must be source-grounded before acceptance. Opt-in via one-time consent, stored in the UAP; fires only on load-bearing changes. Triggered by "recruit a cross-family check", "decorrelate this verification", "use the idle sidecars to verify", "auto-decorrelation".

AI & Automation 8 stars 0 forks Updated today MIT

Install

View on GitHub

Quality Score: 79/100

Stars 20%
32
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# auto-decorrelation — Cross-Family Verifier Recruitment The lever for catching a model's blind spots is **decorrelation, not repetition** — a model cannot find its own family's flaws by repeating itself. FH's adversarial verification (Axis-2 challenger) dispatches in-session at the session tier, **same family** as the governor. When frontier CLIs are installed and a local GPU box is live, leaving them idle wastes the one thing that actually raises the verification ceiling. This skill recruits a **cross-family** verifier for load-bearing changes — and degrades honestly when none is available. It is a thin recruitment-and-degrade **policy** that REUSES existing machinery: `agent-composer` does the actual dispatch, `cross-ecosystem-synergy-detection` inventories tools, `token-budget-gate` gates spend, the headless CLI patterns and the floor-tier canary already exist. Net-new = the discovery + the family-diversity recruitment + the degrade ladder only. (A **composing policy skill** — it fans out to several callees, so its token floor is higher than a leaf skill by design; this is composition, not reinvention, and the chain is return-path-closed — Step 5 gates acceptance on the callee's back-trace.) ## Triggers - "recruit a cross-family check" · "decorrelate this verification" - "use the idle sidecars to verify this" · "don't let codex/gemini sit idle on this gate" - "is opus alone enough to verify this, or should another family look?" - "auto-decorrelation" ## Step 0 — Cons...

Details

Author
chrono-meta
Repository
chrono-meta/forge-harness
Created
2 months ago
Last Updated
today
Language
Shell
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Listed

cross-model-review

Get an adversarial review from a DIFFERENT model family before a load-bearing merge/ship — the mechanized form of "the author is not the judge" when the strongest independent lens is another model, not just a fresh-context subagent of your own. Load when about to merge/ship load-bearing work (code, or a load-bearing plan/spec/doctrine doc), or when the user asks to get an external/second model to review. Do NOT load for routine changes a same-model fresh-context critic covers (delegation-and-review §3), for routine copy/marketing/user-facing prose, or as a way to skip reproducing findings yourself.

2 Updated today
F-e-u-e-r
AI & Automation Solid

council

Gathers N independent, decorrelated perspectives across model families (external CLIs when present, subagents when not) and arbitrates inline. Use when a decision needs genuine debate — not same-model echo — for critique, review, or judge calls. Honest about degradation: never claims 'consensus' from a single model family.

81 Updated 3 days ago
Rune-kit
AI & Automation Listed

ref-sp-agents-verification-discipline

Portable verification discipline that counters jumping to answers, sycophancy, and overconfidence: enumerate candidate approaches or root causes, route verification by confidence and stakes, prune on evidence, abstain explicitly when nothing can settle a claim. Use when: choosing between approaches or root causes, acting on an unverified claim or assumption, responding when the user challenges or contradicts a conclusion, deciding how much verification a risky or irreversible action needs, or calibrating stated confidence in answers, reviews, and reports.

0 Updated 3 days ago
swiftpostlabs