| name | analyzing-weights |
| description | Analyzes weight file diffs after benchmarks to flag significant regressions in ref_time, proof_size, and DB reads. Use when updating weights, running benchmarks, or reviewing weight changes. |
Analyzing Weights
Analyzes weight file changes between the current branch and a base branch to detect significant regressions or anomalies introduced by benchmark updates.
When to use
- After running the runtime benchmarks to regenerate weights
- When reviewing a PR that updates weight files
- When the user asks to check, analyze, or validate weight changes
Workflow
1) Determine the base branch
- If the user provides a base branch name, use it.
- Otherwise, infer from the current branch context:
- Use
perm-runtime-NNNN if the branch name or commits suggest a release.
- Fall back to
master.
- Confirm the base branch exists locally before proceeding.
2) Generate and parse the weight diff
Run the analysis script piping the git diff of weight files:
git diff $(git merge-base <base-branch> HEAD)..HEAD -- '*/weights/*' \
| python3 .claude/skills/analyzing-weights/scripts/analyze-weight-diff.py --threshold 50
The script accepts:
--file <path> or stdin (piped diff)--threshold <N> percentage threshold for flagging (default: 50)
3) Interpret the report
The script produces 7 sections:
| Section | What it flags |
|---|
| 1 | Base ref_time increases above threshold |
| 2 | Base ref_time decreases above threshold |
| 3 | Per-variable ref_time multiplier changes (critical for parametric weights) |
| 4 | Minimum execution time changes above threshold |
| 5 | proof_size per-variable changes above 100% |
| 6 | Per-runtime summary (moonbase, moonbeam, moonriver) |
| 7 | Full sorted table of all minimum execution time changes |
4) Flag concerns
After reviewing the script output, flag:
- Per-variable multiplier explosions: If a per-
x or per-y coefficient grows by 10x+, compute the charged weight at mainnet parameters (see reference values below) and check whether it exceeds block limits.
- proof_size overflow: Compute
proof_size at mainnet parameters. If it exceeds 10 MB (PoV limit), flag it as a blocker.
- Benchmark range vs mainnet range: Check whether the benchmark's linear parameter ranges cover the actual mainnet values. If mainnet values exceed the benchmark range, the weight formula extrapolates and may be inaccurate.
5) Mainnet reference values
Use these for impact calculations:
| Parameter | Moonbeam | Moonriver | Moonbase |
|---|
| Block ref_time limit | 2,000,000,000,000 (2T) | 2T | 2T |
| Block PoV limit | 10,485,760 (10 MB) | 10 MB | 10 MB |
| TotalSelected (collators) | ~64 | ~24 | ~16 |
| MaxTopDelegationsPerCandidate | 300 | 300 | 300 |
| MaxDelegationsPerDelegator | 100 | 100 | 100 |
| MaxBottomDelegationsPerCandidate | 50 | 50 | 50 |
6) Present findings
Summarize to the user:
- Overall trend: Are weights mostly stable, increasing, or decreasing?
- Flagged regressions: List any extrinsic with changes above threshold, with context on whether it matters at mainnet scale.
- Blockers: If any charged weight at mainnet parameters exceeds block limits, call it out explicitly.
- Recommendation: Whether the weight update is safe to merge as-is or needs investigation.
