bare-eval
Run isolated eval and grading calls using CC 2.1.81 --bare mode. Constructs claude -p --bare invocations for skill evaluation, trigger testing, and LLM grading without plugin/hook interference. Use when running eval pipelines, grading skill outputs, benchmarking prompt quality, or testing trigger accuracy in isolation.
Works with
---
name: bare-eval
description: Run isolated eval and grading calls using CC 2.1.81 --bare mode. Constructs claude -p --bare invocations for skill evaluation, trigger testing, and LLM grading without plugin/hook interference. Use when running eval pipelines, grading skill outputs, benchmarking prompt quality, or testing trigger accuracy in isolation.
license: MIT
---
# Bare Eval — Isolated Evaluation Calls
Run `claude -p --bare` for fast, clean eval/grading without plugin overhead.
**CC 2.1.81 required.** The `--bare` flag skips hooks, LSP, plugin sync, and skill directory walks.
## When to Use
- Grading skill outputs against assertions
- Trigger classification (which skill matches a prompt)
- Description optimization iterations
- Any scripted `-p` call that doesn't need plugins
## When NOT to Use
- Testing skill routing (needs `--plugin-dir`)
- Testing agent orchestration (needs full plugin context)
- Interactive sessions
## Prerequisites
```bash
# --bare requires ANTHROPIC_API_KEY (OAuth/keychain disabled)
export ANTHROPIC_API_KEY="sk-ant-..."
# Verify CC version
claude --version # Must be >= 2.1.81
```
## Quick Reference
| Call Type | Command Pattern |
|-----------|----------------|
| Grading | `claude -p "$prompt" --bare --max-turns 1 --output-format text` |
| Trigger | `claude -p "$prompt" --bare --json-schema "$schema" --output-format json` |
| Streaming grade | `claude -p "$prompt" --bare --max-turns 1 --output-format stream-json` |
| Optimize | `echo "$prompt" \| claude -p --bare --max-turns 1 --output-format text` |
| Force-skill | `claude -p "$prompt" --bare --print --append-system-prompt "$content"` |
| @-file in prompt | `claude -p "grade @fixtures/case-1.md against rubric" --bare` (CC 2.1.113 Remote Control autocomplete) |
> **Long harness runs (CC 2.1.199+):** set `CLAUDE_CODE_RETRY_WATCHDOG=1` for unattended eval batches — it raises the default retry count for non-capacity transient errors to 300 and lifts the cap of 15 on `CLAUDE_CODE_MAX_RETRIES`, so an overnight grading run survives transient API blips instead of dying mid-batch.
### `--output-format stream-json`
Newline-delimited JSON events (one per token/tool-call) — lets a runner score partial output or abort early on a failing probe without waiting for the full response.
```bash
claude -p "$prompt" --bare --max-turns 1 --output-format stream-json \
| while IFS= read -r line; do
# line is a single JSON event; inspect $.type == "content_block_delta"
jq -r 'select(.type == "content_block_delta") | .delta.text' <<< "$line"
done
```
Use `stream-json` over `json` when:
- grading long outputs and you want incremental scoring,
- piping into another CLI step-by-step (e.g. `ork:eval-runner`),
- you need per-token timing data alongside the content.
## Invocation Patterns
Load detailed patterns and examples:
```
Read("${CLAUDE_PLUGIN_ROOT}/skills/bare-eval/references/invocation-patterns.md")
```
## Grading Schemas
JSON schemas for structured eval output:
```
Read("${CLAUDE_PLUGIN_ROOT}/skills/bare-eval/references/grading-schemas.md")
```
## Pipeline Integration
OrchestKit's eval scripts (`npm run eval:skill`) auto-detect bare mode:
```bash
# eval-common.sh detects ANTHROPIC_API_KEY → sets BARE_MODE=true
# Scripts add --bare to all non-plugin calls automatically
```
**Bare calls:** Trigger classification, force-skill, baseline, all grading.
**Never bare:** `run_with_skill` (needs plugin context for routing tests).
### CC 2.1.119: `--print` honors agent `tools:` / `disallowedTools:` (M122)
Before CC 2.1.119, `--print` mode ran with the full default tool set regardless of the agent's frontmatter `tools:` and `disallowedTools:`. Bare-eval grading was effectively ungated — graders could call any tool they wanted, even if the agent definition restricted them.
**As of 2.1.119, `--print` enforces the agent's declared tool surface.** Implications for eval design:
| Consequence | Action |
|---|---|
| Eval graders that relied on unrestricted tool access may now fail | Audit grader prompts for tools they actually need; whitelist explicitly via the agent's `tools:` frontmatter |
| Eval results match interactive runs | Reproducibility improves — grading what the model can actually do, not what it could do in an unsandboxed `--print` |
| `--agent <name>` also honors `permissionMode` in `--print` | Permission-gated tools (Bash, Edit) require either `permissionMode: acceptEdits` or explicit allowlists in the agent definition |
Migration test:
```bash
# Run an eval against an agent with a deliberately tight tools: list.
# Graders that previously called Read/Bash freely will now fail unless those
# tools are declared on the agent.
claude -p "$prompt" --bare --print --agent grader-test
```
If the grader fails with a "tool not permitted" error, add the required tool to the agent's `tools:` frontmatter and re-run.
### CC 2.1.121: `CLAUDE_CODE_FORK_SUBAGENT=1` for grader determinism (#1545)
Before CC 2.1.121, the env var only worked in interactive sessions. As of 2.1.121, **non-interactive paths (`claude -p`, SDK) honor it too** — each grader invocation gets a fresh forked subagent context.
**The cross-eval state-leak problem this fixes:**
Without forking, sequential `claude -p --bare` graders inherit harness state:
| Inherited | Symptom |
|---|---|
| memory MCP query cache | grader sees stale hit from previous run; same fixture grades differently |
| `.claude/chain/*.json` on disk | grader for "implement" thinks "explore" already ran (file is from previous test) |
| ToolSearch deferred-tool cache | first grader's MCP loads bleed into next grader's tool registry |
| model picker pref | grader N inherits `--model=opus` from grader N-1 |
This produced ~5–10% retry rate and non-reproducible scores — the eval baseline drifted between runs, engineers chased phantom regressions.
**Fix:** `tests/evals/scripts/lib/eval-common.sh` exports `CLAUDE_CODE_FORK_SUBAGENT=1`, so every script that sources it (run-trigger-eval, run-quality-eval, run-agent-eval, optimize-description, etc.) gets forked graders automatically. The CI workflow `.github/workflows/skill-eval.yml` also sets it at the workflow level (its predecessor `orchestkit-eval.yml` was retired 2026-08-01 — its grading phases rated description prose, not behavior). Older CC silently ignores the env var (no-op).
**Determinism contract:** running the same grader on the same fixture twice in a row produces the **same score**. Verified by `tests/evals/scripts/test-grader-determinism.sh`.
## Performance
| Scenario | Without --bare | With --bare | Savings |
|----------|---------------|-------------|---------|
| Single grading call | ~3-5s startup | ~0.5-1s | 2-4x |
| Trigger (per prompt) | ~3-5s | ~0.5-1s | 2-4x |
| Full eval (50 calls) | ~150-250s overhead | ~25-50s | 3-5x |
## Rules
```
Read("${CLAUDE_PLUGIN_ROOT}/skills/bare-eval/rules/_sections.md")
```
## Troubleshooting
```
Read("${CLAUDE_PLUGIN_ROOT}/skills/bare-eval/references/troubleshooting.md")
```
## Dynamic-workflow harness (template-in-skill)
`workflows/skill-fitness.js` is a runnable dynamic-workflow template — the workflow-backed complement to the static conformance grader (`scripts/eval/conformance-check.mjs`). It fans out one **isolated-context** agent per skill to score fitness (freshness / router-clarity / structure) and synthesizes a ranked scorecard, catching qualitative drift a static grep can't (description/body count mismatches, duplicate headings, install-specific absolute paths, version drift). Run it with the Workflow tool:
```
Workflow({ scriptPath: "${CLAUDE_PLUGIN_ROOT}/skills/bare-eval/workflows/skill-fitness.js",
args: ["assess", "commit", "doctor"] })
```
Treat it as a **template**, not a verbatim script — adapt the `SKILLS` list and rubric per use. Cost is real (~50k tokens/skill; scoring all ~112 is ~6M tokens), so pass an explicit batch via `args`. Static-first: run `conformance-check.mjs` (zero tokens) to pre-filter, then this harness for the judgment grep can't make.
## Holdout Bake-Off Grading
The holdout-promotion gate grades a **champion** and a **challenger** SKILL.md over the same sealed holdout via bare-mode forked graders — the canonical consumer of the determinism contract above: identical grader + identical `ork-rubric/1.0` + identical sealed set, with `CLAUDE_CODE_FORK_SUBAGENT=1` so the only variable is the version under test. Both `--bare` constraints apply (requires `ANTHROPIC_API_KEY`, bills tokens directly → on-demand / CI only). Run it with `bash tests/evals/scripts/run-skill-eval.sh --holdout-promote <skill>`.
## Related
- `eval:skill` npm script — unified skill evaluation runner
- `eval:trigger` — trigger accuracy testing
- `eval:quality` — A/B quality comparison
- `optimize-description.sh` — iterative description improvement
- Version compatibility: `doctor/references/version-compatibility.md`More Testing skills
tdd
mattpocock/skills
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
setup-pre-commit
mattpocock/skills
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.
agent-browser
vercel-labs/agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

