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Calibration testing for agents and skills. Generates synthetic problems with known outcomes (quasi-ground-truth), runs targets against them, measures recall, precision, confidence calibration — reveals whether self-reported confidence scores track actual quality.

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ai-rig
3148 skills16 agents2 MCP

Claude Code

$ npx -y skills add Borda/AI-Rig --skill calibrate --agent claude-code

SKILL.md

calibrate.SKILL.md
name: calibrate
description: Calibration testing for agents and skills. Generates synthetic problems with known outcomes (quasi-ground-truth), runs targets against them, measures recall, precision, confidence calibration — reveals whether self-reported confidence scores track actual quality.
argument-hint: '[<scope>...] [--fast | --full] [--ab-test | --apply] [--skip-gate] [--local] [--keep "<items>"]'
effort: high
disable-model-invocation: true
allowed-tools: Read, Write, Bash, Agent, Glob, TaskCreate, TaskUpdate, TaskList, AskUserQuestion

<objective>

Validate agents and skills by measuring outputs against synthetic problems with defined ground truth. Primary signal: **calibration bias** — gap between self-reported confidence and actual recall. Well-calibrated agent reports 0.9 when it finds ~90% of issues. Miscalibrated: reports 0.9, finds 60%.

Calibration data drives improvement loop: systematic gaps: instruction updates; persistent overconfidence: overconfidence checks in the target's `<antipatterns-to-flag>`.

NOT for: static routing overlap analysis (use /foundry:audit); manually reviewing skill output quality (use /develop:review (requires `develop` plugin)).

</objective>

<inputs>

  • **$ARGUMENTS**: parse `--flags` first, then resolve remaining tokens as scope targets

**Flags** (order independent):

  • `--fast` — 3 problems per target (default when neither pace flag passed)
  • `--full` — 10 problems per target; mutually exclusive with `--fast`
  • `--ab-test` — also run `general-purpose` baseline and report delta metrics; requires benchmark (default `--fast` if no pace flag); mutually exclusive with `--apply`
  • `--apply` — prepare proposals for application: with `--fast`/`--full`: benchmark then review the concrete edits; without pace flag: skip benchmark, select the most recent proposal per target; application always requires the Step 6 approval; mutually exclusive with `--ab-test`
  • `--skip-gate` — suppress fan-out and follow-up gates; for programmatic callers; never bypasses Step 6 edit approval
  • `--local` — read rules (`rules` target), mode files and the cross-plugin availability check from source tree (`plugins/*/`) instead of installed plugin cache; agent/skill targets come from source tree in both modes (`resolve_agent_file.py`); for plugin-dev workflows where local edits aren't yet installed; sets `LOCAL_MODE=true` in all pipeline spawns

**Mutual exclusion validation** (check before any work):

  • `--ab-test` + `--apply` together: hard error: "`--ab-test` and `--apply` are mutually exclusive. Pass one or neither."
  • `--fast` + `--full` together: hard error: "Pass `--fast` or `--full`, not both."
  • `--ab-test` without pace flag: default `--fast` silently (no error)

**Unsupported flag check** — after all supported flags extracted (`--fast`, `--full`, `--ab-test`, `--apply`, `--skip-gate`, `--local`, `--keep`), scan `$ARGUMENTS` for remaining `--<token>` tokens. Found: invoke `AskUserQuestion` with question text `` ! Unknown flag(s): `--<token>`. Supported: `--fast`, `--full`, `--ab-test`, `--apply`, `--skip-gate`, `--local`, `--keep`. `` — (a) **Abort** (stop, re-invoke with correct flags) · (b) **Continue ignoring** (skip unknown flags, proceed). On Abort: stop.

**Legacy positional tokens** (`ab`, `apply`, `fast`, `full`) — **hard error**: print migration hint, stop. Example: "`ab` removed — use `--ab-test` flag: `/foundry:calibrate curator --ab-test`."

**Scope tokens** (positional, space-separated — defaults to `all`):

  • `all` — all agents + relevant skills + routing + communication + all rules
  • `agents` — all agents only (full agent list in `modes/agents.md`)
  • `skills` — calibratable skills only (`/foundry:audit` and others per `modes/skills.md`; `/oss:review` (requires `oss` plugin) excluded — requires live GitHub PR)
  • `routing` — routing accuracy test: measures how accurately `general-purpose` orchestrator selects correct `subagent_type` for synthetic task prompts (not per-agent quality benchmark; included in `all`)
  • `communication` — handover + team protocol compliance: runs `foundry:curator` against synthetic agent responses and team transcripts with injected protocol violations (missing JSON envelope, missing `summary`, AgentSpeak v2 breaches); included in `all`
  • `rules` — rule adherence test: for each global rule file (no `paths:`) and each path-scoped rule when matching file is in context, generates synthetic tasks that should trigger rule's key directives, measures whether `general-purpose` agent with rule loaded correctly applies them; reports rules that are ignored, misapplied, or redundant; included in `all`
  • `plugins` — all agents + calibratable skills from all `plugins/*/` directories (union of all plugin-namespaced agents and calibratable skills)
  • `<plugin-name>` — **tier 2**: plugin name or directory name (e.g. `oss`, `foundry`, `research`, `develop`, `codemap-py`); resolve `plugins/<name>/` first, then `plugins/cc_<name>/`, then a plugin root whose manifest `name` matches (e.g. `bridge` → `plugins/bridge_cc-codex/`); calibrates that root's manifest-declared agents + calibratable skills
  • `<agent-name>` — **tier 3**: single agent (e.g., `foundry:sw-engineer`); also accepts bare name (e.g. `sw-engineer`) and resolves via `plugins/*/agents/<name>.md`
  • `/foundry:audit` — single skill (pass any calibratable skill name; `/oss:review` (requires `oss` plugin) accepted but excluded per `modes/skills.md`)
  • Multiple scope tokens — space-separated; calibrates union of resolved targets: `oss research`, `agents skills`, `curator shepherd`; each token resolved through same tier hierarchy as `/foundry:audit` scope tokens (reserved keywords first, then plugin-dir lookup, then agent/skill file search)

Every invocation surfaces report: benchmark runs print new results; `--apply` without pace flag prints saved report from last run before applying.

</inputs>

<constants>

  • FAST_N: 3 problems per tar
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Questions about calibrate.

Which coding agents can use calibrate?
calibrate installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.