netx-lab/frontier/frontier-calibration

Claude Code and agent skill by netx-lab/frontier

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Use when Frontier simulator results must be compared with vLLM-BS ground truth, to collect a reproducible case, gate E2E metrics against the 10% threshold, find the source of an error, or apply and republish a decided Frontier correction.

Install

npx vskill@latest install netx-lab/frontier/frontier-calibration

SKILL.md

Frontier Calibration

Calibration compares Frontier with a user-selected inference engine or fork, such as vLLM, SGLang, or TensorRT-LLM, on the same workload. It checks clean E2E metrics and traces each gap to a source. First verify the engine's collectors, metric conversion, and Frontier semantic support. Existing vLLM tools are usable only for compatible builds and formats; this skill does not supply ready-made runners for every engine.

Model representative behavior of the selected engine under the user's configuration. Establish a sufficient repeated clean-run reference before attributing error or claiming accuracy. Fine-grained traces explain causes; ordinary users must be able to assess predictions with clean runs. Follow references/contract.md, "Calibration Objective", before collecting evidence or proposing a correction.

If site.local.md exists beside this file, read it first. It binds the reference engine checkout or installed build, artifacts root, $FRONTIER_TMP_ROOT, and GPU platform to this host and is not tracked. The case may supply those values instead. Resolve only missing required values; a local default never overrides the user's selected engine.

Read Before a Case

  1. references/contract.md: calibration objective and reference sufficiency,

case binding, engine/build identity, run modes, the E2E gate, error-source classes, decisions.

  1. references/engine-integration.md: select and pin the reference build,

check required capabilities, and validate its comparison path. Reuse the binding for subsequent cases only while its assumptions remain valid.

  1. references/call-graph.md: execution order, predicates, stops, and return

edges. It overrides any order implied elsewhere.

  1. references/pitfalls.md: failures that earlier calibration tasks hit.
  2. references/evidence-tiers.md: which artifact may support which claim.

Read on demand:

  • references/layer-timing-calibration.md for the optional workflow check

using full-model layer timings, before operator/kernel calibration;

  • references/tool-boundaries.md before launching or writing a tool;
  • references/repair-approval.md before any code change;
  • references/registry.json for an entry's inputs, outputs, and stop statuses

(references/registry.md explains its fields);

  • references/migration.md only for records written under older entry names.

Resolving an Entry Name

Every entry is a document under entries/, not a separate skill and not a slash command. A name such as parity-run maps to entries/parity-run.md with no exception. Entry documents refer to shared material as ../references/<file>.

Route by Goal

GoalEntry
Collect a reproducible case or new cellsparity-run
Gate a cell's clean E2E metricse2e-metrics-gap
Check that both sides mean the same settingssemantic-alignment-check
Check workflow with measured layer timings, or explain scheduling, batching, or lane differencesworkflow-gap-analysis
Compare matched operators or kernelsop-gap-analysis
Fill profiling coverageop-supplement
Classify PP, collective, KV, or M2N timeresidual-lane-classification
Attribute host timecpu-overhead-analysis
Find an error source without changing codeerror-analysis
Apply decided corrections and republisherror-correction

The call graph reaches the other ten entries: groundtruth-run-check, groundtruth-run, simulator-run, dispatch-align-trace, semantic-alignment-repair, workflow-repair, op-repair, residual-repair, cpu-overhead-supplement, and cpu-overhead-repair.

Rules for Every Entry

  • Only clean-run rows of the formal requests decide the gate. Each metric

passes on its own when its relative error is at most 0.10, and run_gate.py gate gives the verdict after the engine's metric conversion and gate compatibility are verified. Instrumented and diagnostic runs never close it.

  • An unresolved required case choice stops the affected work. Gather evidence,

prepare options with costs, ask one focused question, and record the user's verbatim answer under a decision ID in the task's requirements.md. No artifact, status, or earlier receipt approves a code change by itself.

  • Fix simulation_logic errors first. Re-collecting or tuning measurement

tables runs only when the user approves it for the task, and a Frontier change never models a ground-truth defect.

  • One correction is one ticket and one scoped commit, followed by the

regression set and fresh evidence (references/repair-approval.md).

  • Published tables, readings, and run directories are never edited; a new

generation replaces them and the old one stays on record.

  • GPU jobs follow the operator's platform rules. Pushing Frontier or

reference-engine branches and any other external action needs the user's approval.

  • Write "code change" and "repair change" in records, in plain words.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

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