netx-lab/frontier/frontier-calibration
Claude Code and agent skill by netx-lab/frontier
- community
Checking that the SKILL.md file is still in the repository.
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-calibrationSKILL.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
references/contract.md: calibration objective and reference sufficiency,
case binding, engine/build identity, run modes, the E2E gate, error-source classes, decisions.
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.
references/call-graph.md: execution order, predicates, stops, and return
edges. It overrides any order implied elsewhere.
references/pitfalls.md: failures that earlier calibration tasks hit.references/evidence-tiers.md: which artifact may support which claim.
Read on demand:
references/layer-timing-calibration.mdfor the optional workflow check
using full-model layer timings, before operator/kernel calibration;
references/tool-boundaries.mdbefore launching or writing a tool;references/repair-approval.mdbefore any code change;references/registry.jsonfor an entry's inputs, outputs, and stop statuses
(references/registry.md explains its fields);
references/migration.mdonly 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
| Goal | Entry | |
|---|---|---|
| Collect a reproducible case or new cells | parity-run | |
| Gate a cell's clean E2E metrics | e2e-metrics-gap | |
| Check that both sides mean the same settings | semantic-alignment-check | |
| Check workflow with measured layer timings, or explain scheduling, batching, or lane differences | workflow-gap-analysis | |
| Compare matched operators or kernels | op-gap-analysis | |
| Fill profiling coverage | op-supplement | |
| Classify PP, collective, KV, or M2N time | residual-lane-classification | |
| Attribute host time | cpu-overhead-analysis | |
| Find an error source without changing code | error-analysis | |
| Apply decided corrections and republish | error-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_logicerrors 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
- SKILL.md in the repositoryCheckingskills/frontier-calibration/SKILL.md
Popularity
- Repository stars
- 167
- Repository forks
- 23
- 7-day trend score
- 0
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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