benchmark-enhancement-capture

benchmark-enhancement-capture is a skill for Claude Code from vibeic/vibe-ic. It costs 359 tokens per session (9,926 once invoked), scanned A, original, Apache-2.0.

A skill for improving Vibe-IC, a workflow for generating and checking integrated-circuit designs, by turning previously failed benchmark cases into repeatable fixes. It covers failures across the workflow, not only hardware-description-language writing.

In plain words
What is it for?
Use it after a real case or closed-loop run when an AI judgment recovers a failure, so the case can be benchmarked, documented, and added to the program.
Why use it?
A fix discovered during one run can otherwise be lost and have to be found again. This records the failure, its cause, the successful recovery, and the resulting improvement.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the vibe-ic plugin — 70 skills, 8 commands, 8 agents, 2 hooks, 1 MCP server shipped together

Good fit Use it after a real case or closed-loop run when an AI judgment recovers a failure, so the case can be benchmarked, documented, and added to the program.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add vibeic/vibe-ic
Claude Code
/plugin install vibe-ic

Made for: Claude Code.

Or install vibe-ic, the plugin that ships this one along with the rest of its 70 skills, 8 commands, 8 agents, 2 hooks, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for benchmark-enhancement-capture

README.md
[![agentmods](https://agentmods.dev/badge/skills/vibeic/vibe-ic/benchmark-enhancement-capture/github.svg)](https://agentmods.dev/skills/vibeic/vibe-ic/benchmark-enhancement-capture)
Your own site
<a href="https://agentmods.dev/skills/vibeic/vibe-ic/benchmark-enhancement-capture"><img src="https://agentmods.dev/badge/skills/vibeic/vibe-ic/benchmark-enhancement-capture/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for benchmark-enhancement-capture

Your own site · 80×15
<a href="https://agentmods.dev/skills/vibeic/vibe-ic/benchmark-enhancement-capture"><img src="https://agentmods.dev/badge/skills/vibeic/vibe-ic/benchmark-enhancement-capture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 359 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,926 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00359 $0.09926
Opus 5 $0.00179 $0.04963
Sonnet 5 $0.00072 $0.01985
Haiku 4.5 $0.00036 $0.00993

Measured 12d ago against content hash a9d62a8d7d33, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

benchmark-enhancement-capture scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (tests/test_compliance.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

vibe-ic-marketplace/plugins/vibe-ic/skills/benchmark-enhancement-capture/SKILL.md · 610 lines

How it starts

The opening of the file, as written. The whole thing — 610 lines — stays where its author put it; the contents beside it link to each section on GitHub.

benchmark-enhancement-capture — the plugin's complement-and-codify loop

This skill is what makes Vibe-IC's plugin compound over time. Without it, every AI-judgment recovery — at ANY step in the flow — is a one-off that evaporates with the session. With it, every recovery has a path to permanently improve the plugin so the same fix is automatic next time.

⭐ THE BENCHMARK AGENT'S #1 MANDATE — converge → capture → distill-to-program (BINDING)

Owner directive (2026-06-22, emphatic): "請把這整套透過 Benchmark 不斷去收斂,然後 capture 這些 fail case 變成可以解,並將所有可以解的都淬鍊在我們的 program 裡面。這是 Benchmark Agent 最重要的事情了。"

The Benchmark Agent's PRIMARY, never-ending job is a LOOP, not a one-shot score:

  1. CONVERGE continuously. Run the benchmark; for EVERY fail, drive it to an OFFICIAL PASS — RCA against the harness oracle in convergence mode (§3.9 oracle-for-RCA) → author → verify with the official scorer (e.g. benchmark/score_one.py). A fail is NEVER accepted as a "floor" until spec_coverage_check --failure proves it spec-absent.
  2. CAPTURE every fail into a solvable case. Record (design, prior-fail, recovered-pass, RCA) so the recovery is reproducible — never a one-off.
  3. DISTILL every generalizable fix into the PROGRAM layer (program-first). Turn each recovery into a deterministic rule / gate / extractor in programs/*.py (or the gate it belongs to) so the NEXT BLIND run auto-recovers it WITHOUT an agent. This is the load-bearing step: it is what makes the benchmark number COMPOUND instead of evaporating. The gap between the blind pass@1 and the converged 100% IS the backlog of fixes still to distill.

Proven (CVDP campaign, 2026-06): each program-first fix removed a whole failure CLASS and lifted the blind floor — PR #42 (gate multi-file split + flat-file-map recovery), #43 (score_one official single-design scorer), #46 (Phase-1 directional-prose port extraction — fixed the #1 blind cause: empty L1 pin_table → guessed port-name/CASE → cocotb "no child object named X"). Full-302 blind reached 185/302 = 61.3% (~1.8× the published SOTA 34 %); convergence reaches ~100 %. Convergence has truly closed only when a fresh BLIND run produces 0 residual that needs a plugin fix, across TWO consecutive rounds — until then, every loop tick MUST end by distilling its recoveries into programs via the bucket ladder below.

Read the full file on GitHub · 610 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 610 lines · 359 tokens per session scan A a9d62a8d7d33

Subscribe to this mod's changes

benchmark-enhancement-capture is a skill published in the GitHub repository vibeic/vibe-ic (23 stars, last pushed yesterday), licensed Apache-2.0. It adds 359 tokens to every session and 9,926 once invoked, about $0.0018 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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