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SKILL verified MIT Self-run

Ramp And Verify

skill-understudylabs-understudy-agent-tools-ramp-and-verify · by understudylabs

Use after a route decision exists and a candidate model must take live traffic safely — "ramp this route", "move 25% of traffic to the new model", "did the route change regress anything", "roll this back", "prove the savings are real". Pre-ramp stability gates, a staged traffic ladder through the Understudy gateway dial, routed-vs-passthrough verification from captures at each step, and explicit…

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Install

$ agentstack add skill-understudylabs-understudy-agent-tools-ramp-and-verify

✓ 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

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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

Ramp and Verify

Every successful journey through this library ends the same way: a candidate won on a frozen eval and a route decision says ship it. This worker owns the last mile — taking that candidate from 0% to 100% of live traffic on the gateway dial without trusting a single lab number, and producing the measured before/after that makes any savings statement honest. It starts where [../compare-model-sweep/SKILL.md](../compare-model-sweep/SKILL.md) and [../use-understudy-gateway/SKILL.md](../use-understudy-gateway/SKILL.md) stop.

Resolve CLI

Prefer the installed understudy binary. If it is unavailable inside a repo checkout, run through the package script:

npm run build
node dist/bin.js status --json

Safety Gates

  • Every traffic change is an explicit, approved action. Name the workload,

the model id, the old and new percentage, and get approval in the current thread before each routes set. Never ramp two tiers in one step.

  • Disclose capture-on-by-default. Setting a model route enables request

capture for that workload unless capture is explicitly disabled — tell the developer this before the first route write and confirm the capture setting they want. The hosted capture behavior is documented at docs.understudylabs.com/concepts/capture.

  • Snapshot before every change. The CLI writes a route snapshot before

route writes; verify it exists so routes rollback has something to restore.

  • No savings claim without a claim packet. Measured routed-vs-passthrough

deltas go into the evidence contract from [../optimize-workload/SKILL.md](../optimize-workload/SKILL.md) (claim.json); a tier that "looks cheaper" is not a claim.

  • Captures contain raw request/response bodies. Read them through the CLI's

redacted, metadata-first views; full payload export is opt-in, file-only, and approval-gated.

Pre-ramp gates (all must pass)

  1. Frozen-eval verdict exists — a sweep/optimization result on frozen

splits with the incumbent baseline recorded.

  1. Repeat-replay stability. Re-run the candidate on the frozen rows N

times (default 3) and bucket each row: all-repeats-match / some / none (the procedure lives in [../compare-trajectories/SKILL.md](../compare-trajectories/SKILL.md)). Rows that never repeat are stochastic pockets — assign each a disposition: fallback (route to incumbent), shadow (observe, don't serve), or requires-fresh-traffic. Stop if >~5% of rows are unstable.

  1. Fallback exists. The non-routed remainder passes through to the

incumbent by construction; confirm the workload's passthrough path works (gateway probe) before sending anything to the candidate.

Desktop app export packets under ~/.understudy/exports/ are admissible for gate 1 once verified — shape, sibling-JSONL hash, split identity, and cost basis all check out. The admission checklist and verification transcript live in [reference.md](reference.md).

The ladder

Default tiers: 5% → 25% → 100% (note: routes set defaults --traffic-pct to 10 when not specified, so pass --traffic-pct 5 explicitly for the first tier). The dial's hosted split semantics are documented at docs.understudylabs.com/concepts/routing. At each tier:

  1. `understudy routes set --project --model-id

--traffic-pct ` — after approval.

  1. Soak. Hold the tier for an agreed window (hours at 5%, a day at 25%)

while traffic accumulates.

  1. Verify from reporting + captures. Check the reporting endpoints first

for a fast aggregate view:

`` GET .../provider-health?window= GET .../status?window= ``

(docs) Use [../check-routing-health/SKILL.md](../check-routing-health/SKILL.md) for the full diagnostic flow. Then pull the window's captures (metadata-first) and compare routed vs passthrough on the same period: error/status-code rate, latency distribution, schema/parse validity of outputs, and token/cost per call. The routed cohort must hold the lab quality bar on whatever the workload's validator can score from captures.

  1. Spot-check determinism. Re-run a small sample of routed rows against

the candidate; if repeats disagree materially more than the pre-ramp measurement, stop the ramp and re-diagnose.

  1. Advance or roll back. Advance only when the tier window is clean.

Rollback triggers — any one fires understudy routes rollback (or routes clear) immediately: error rate or schema-validity regression vs passthrough, tail-latency regression beyond the agreed bound, instability above the pre-ramp measurement, or the developer's call. After a rollback, do not re-ramp until the root cause is fixed and the pre-ramp gates pass again on a fresh eval.

After 100%

Keep the incumbent reachable (snapshot retained, rollback tested) for an agreed observation window. Then assemble the before/after: incumbent baseline vs routed steady-state on quality-from-captures, latency, and cost/call — into the claim packet. That packet, not the ramp log, is what any cost or quality statement cites.

Output Standard

End with: the workload/project/model ids and the tier history (pct, window, verdict per tier); the pre-ramp gate results (stability fraction, disposition counts); per-tier routed-vs-passthrough table (errors, latency, validity, cost/call); any rollbacks and their trigger; the current route state and snapshot path; result type (live); and the claim-packet status with the one recommended next action.

References

  • [../use-understudy-gateway/SKILL.md](../use-understudy-gateway/SKILL.md) —

route/capture command surface and auth readiness.

  • [../compare-trajectories/SKILL.md](../compare-trajectories/SKILL.md) —

repeat-replay stability procedure and dispositions.

  • [../compare-model-sweep/SKILL.md](../compare-model-sweep/SKILL.md) — the

frozen-eval verdict required by the pre-ramp gate.

  • [../optimize-workload/SKILL.md](../optimize-workload/SKILL.md) — the

claim-packet contract for any measured savings statement.

  • [../check-routing-health/SKILL.md](../check-routing-health/SKILL.md) —

read-only diagnostics from the reporting endpoints (routing-status, provider-health, compact status).

  • Hosted contracts on the docs site —

routing, capture, reporting & health, and the control-plane API behind routes set/rollback/clear and captures list.

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.

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Versions

  • v0.1.0 Imported from the upstream source.