bench: Research & Knowledge for AI Agents | OpenAgentSkill

Overview

Formal benchmark harness. Runs a metric command N times across 2-3 variants (git refs or state-prep shell commands), checks variance, computes delta vs. declared baseline, and emits a reproducible TSV plus a one-paragraph summary. Read-only to source. Inspired by caveman's 3-arm eval.

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Activate When

/godmode:bench, "benchmark", "compare variants", "A/B metric"
User has a metric and wants a statistically-honest comparison between 2-3 code states
NOT for optimization loops — use optimize for that. bench measures, never modifies source.

Inputs

Ask once, cache for the session:

metric_cmd — shell command printing ONE number to stdout (lower-is-better or higher-is-better, user declares direction).
variants — list of 2-3 entries. Each variant is a record:
- name — short label (e.g. main, terse_on, feature_branch)
- prep — EITHER a git ref (git checkout <ref>) OR an inline shell command that puts the repo into the desired state (e.g. export GODMODE_TERSE=1, git checkout feature-branch)
- teardown — optional shell command to undo prep (default: git checkout - for refs, unset VAR for env)
baseline — name of the variant all deltas are computed against. Must match one variants[].name.
N — runs per variant. Default 5. Minimum 3. Maximum 20.
variance_threshold — stdev/mean ratio that flags a variant noisy. Default 0.05 (5%).

Workflow

Validate inputs — metric_cmd must emit a single number; baseline must match a variant; N >= 3.
Snapshot starting git state (HEAD sha, branch, dirty bit). Refuse to run if working tree is dirty.
FOR each variant in order: a. Run prep. Abort variant on non-zero exit, mark prep_failed. b. Run metric_cmd N times. Collect numbers into an array. c. Compute mean, median, stdev, cv = stdev/mean. d. IF cv > variance_threshold: retry the FULL N-run block up to 3 times (variance recovery). e. IF cv still > threshold after 3 retries: mark variant measurement_error, record best-effort numbers. f. Run teardown. Fail loud if teardown leaves repo dirty.
Restore starting git state exactly (same sha, same branch). Verify with git rev-parse HEAD.
Compute delta_pct for each variant vs. baseline: (variant.median - baseline.median) / baseline.median * 100.
Emit outputs (see Output Format).

Math

mean   = sum(runs) / N
median = sorted(runs)[N//2]        # for even N, average of middle two
stdev  = sqrt(sum((x - mean)^2) / (N - 1))
cv     = stdev / mean
delta% = (variant.median - baseline.median) / baseline.median * 100

All computed with awk — no python, no bc, no external deps.

Output Format

Print to stdout a markdown table:

| variant    | runs | mean    | median  | stdev  | delta%  | status   |
|------------|------|---------|---------|--------|---------|----------|
| main       |    5 | 124.40  | 124.00  |  2.10  |   0.00  | baseline |
| terse_on   |    5 |  98.60  |  99.00  |  1.80  | -20.16  | ok       |
| feature    |    5 | 131.20  | 130.00  | 12.40  |  +4.84  | noisy*   |

Append one row per variant to .godmode/bench-results.tsv:

timestamp	run_id	variant	N	mean	median	stdev	cv	delta_pct	status	metric_cmd	git_ref

run_id is a UUID or date +%s — groups all variants from a single invocation.

Write a one-paragraph summary to .godmode/bench-summary.md, overwriting any prior version:

# Bench <run_id> — <timestamp>
Ran `<metric_cmd>` N=<N> times across <k> variants. Baseline: <baseline>.
Best: <winner> at <median> (<delta>% vs baseline). Worst: <loser> at <median> (<delta>%).
Noisy: <list or "none">. All variants measured from clean HEAD <sha>. Reproduce: re-run
`/godmode:bench` with identical variants file.

Hard Rules

READ-ONLY to the codebase. The only files this skill may write are .godmode/bench-results.tsv and .godmode/bench-summary.md. Touching any source file = abort + fail loud.
Refuse to run on a dirty working tree. git status --porcelain must be empty.
Restore the exact starting HEAD sha after the last variant. Verify and abort if mismatch.
Never skip the variance check. cv > threshold ALWAYS triggers retry, even if the delta looks conclusive.
Never fabricate numbers. If a run produces no number, record NaN and count it against N; never silently drop.
Commit the results TSV after every run — one commit per run_id with message bench: <run_id> <k> variants.
No external deps beyond bash, awk, git, and standard Unix utilities. No python, no jq, no node.
metric_cmd runs with set -e; set -o pipefail. Non-zero exit = failed run, not a zero measurement.

Variance Recovery

FOR variant in variants:
    runs = collect(N)
    retries = 0
    WHILE cv(runs) > threshold AND retries < 3:
        runs = collect(N)           # full fresh block, NOT append
        retries += 1
    IF cv(runs) > threshold:
        status = "measurement_error"
    ELSE:
        status = "ok"

Each retry is a fresh N-run block; never mix runs from different retry attempts.

Keep / Discard Discipline

KEEP a variant's measurement if:
  - N valid numeric samples collected
  - cv <= variance_threshold (possibly after retries)
  - prep and teardown both exited 0
  - git state restored cleanly between variants

DISCARD a variant's measurement if:
  - prep failed (record prep_failed, do NOT retry)
  - >3 retries still noisy (record measurement_error, keep best-effort row, mark unreliable)
  - metric_cmd produced NaN for >=N/2 runs
  - teardown left repo dirty (abort entire run, unsafe to continue)

On DISCARD of a whole run: git reset --hard to the snapshotted starting sha. Summary notes
the abort reason. TSV still gets partial rows with status=aborted.

Stop Conditions

STOP when FIRST of:
  - all_measured: every variant has status in {ok, measurement_error, prep_failed}
  - variance_unrecoverable: >=ceil(k/2) variants are measurement_error (comparison is meaningless)
  - budget_exhausted: total metric_cmd invocations > N * k * 4 (N runs * k variants * 4 retries)
  - unsafe_state: teardown failed or HEAD drifted mid-run
On stop: always write summary.md and commit results.tsv, even on abort.

Success Criteria

bench-results.tsv has exactly one row per variant in the run (k rows per run_id).
Every row has a delta_pct value (0.00 for the baseline row).
No variant is marked measurement_error unless cv truly exceeded threshold after 3 retries.
bench-summary.md names the winner, loser, baseline, and flags any noisy variants.
git rev-parse HEAD after the run matches the snapshotted starting sha.

Error Recovery

Failure	Action
Dirty working tree at start	Abort before first variant. Tell user to stash or commit.
`metric_cmd` non-numeric	Pipe through `tail -1 \| awk '{print $NF}'`. If still non-numeric, record NaN.
`prep` fails for a variant	Mark `prep_failed`, skip runs, continue to next variant.
Variance unrecoverable after 3 retries	Mark `measurement_error`, keep row, emit warning in summary.
HEAD drift mid-run	Abort. `git reset --hard <starting_sha>`. Refuse to emit comparison.
`teardown` leaves repo dirty	Abort entire run. Do not proceed to next variant.

TSV Schema

.godmode/bench-results.tsv is append-only. Header written on first create:

timestamp	run_id	variant	N	mean	median	stdev	cv	delta_pct	status	metric_cmd	git_ref

status is one of: baseline, ok, measurement_error, prep_failed, aborted. Never rewrite history. One run_id groups k rows. Commit every run.

View source ↗

File metadata

name: bench
description: Formal benchmark harness. Runs a metric command N times across 2-3 variants (git refs or state-prep shell commands), checks variance, computes delta vs. declared baseline, and emits a reproducible TSV plus a one-paragraph summary. Read-only to source. Inspired by caveman's 3-arm eval.

View original text

---
name: bench
description: Formal benchmark harness. Runs a metric command N times across 2-3 variants (git refs or state-prep shell commands), checks variance, computes delta vs. declared baseline, and emits a reproducible TSV plus a one-paragraph summary. Read-only to source. Inspired by caveman's 3-arm eval.
---

## Activate When
- `/godmode:bench`, "benchmark", "compare variants", "A/B metric"
- User has a metric and wants a statistically-honest comparison between 2-3 code states
- NOT for optimization loops — use `optimize` for that. `bench` measures, never modifies source.

## Inputs
Ask once, cache for the session:
- `metric_cmd` — shell command printing ONE number to stdout (lower-is-better or higher-is-better, user declares `direction`).
- `variants` — list of 2-3 entries. Each variant is a record:
  - `name` — short label (e.g. `main`, `terse_on`, `feature_branch`)
  - `prep` — EITHER a git ref (`git checkout <ref>`) OR an inline shell command that puts the repo into the desired state (e.g. `export GODMODE_TERSE=1`, `git checkout feature-branch`)
  - `teardown` — optional shell command to undo `prep` (default: `git checkout -` for refs, `unset VAR` for env)
- `baseline` — name of the variant all deltas are computed against. Must match one `variants[].name`.
- `N` — runs per variant. Default 5. Minimum 3. Maximum 20.
- `variance_threshold` — stdev/mean ratio that flags a variant noisy. Default 0.05 (5%).

## Workflow
1. Validate inputs — `metric_cmd` must emit a single number; `baseline` must match a variant; `N >= 3`.
2. Snapshot starting git state (`HEAD` sha, branch, dirty bit). Refuse to run if working tree is dirty.
3. FOR each variant in order:
   a. Run `prep`. Abort variant on non-zero exit, mark `prep_failed`.
   b. Run `metric_cmd` N times. Collect numbers into an array.
   c. Compute mean, median, stdev, cv = stdev/mean.
   d. IF cv > variance_threshold: retry the FULL N-run block up to 3 times (variance recovery).
   e. IF cv still > threshold after 3 retries: mark variant `measurement_error`, record best-effort numbers.
   f. Run `teardown`. Fail loud if teardown leaves repo dirty.
4. Restore starting git state exactly (same sha, same branch). Verify with `git rev-parse HEAD`.
5. Compute `delta_pct` for each variant vs. baseline: `(variant.median - baseline.median) / baseline.median * 100`.
6. Emit outputs (see Output Format).

## Math
```
mean   = sum(runs) / N
median = sorted(runs)[N//2]        # for even N, average of middle two
stdev  = sqrt(sum((x - mean)^2) / (N - 1))
cv     = stdev / mean
delta% = (variant.median - baseline.median) / baseline.median * 100
```
All computed with `awk` — no python, no bc, no external deps.

## Output Format
Print to stdout a markdown table:
```
| variant    | runs | mean    | median  | stdev  | delta%  | status   |
|------------|------|---------|---------|--------|---------|----------|
| main       |    5 | 124.40  | 124.00  |  2.10  |   0.00  | baseline |
| terse_on   |    5 |  98.60  |  99.00  |  1.80  | -20.16  | ok       |
| feature    |    5 | 131.20  | 130.00  | 12.40  |  +4.84  | noisy*   |
```

Append one row per variant to `.godmode/bench-results.tsv`:
```
timestamp	run_id	variant	N	mean	median	stdev	cv	delta_pct	status	metric_cmd	git_ref
```
`run_id` is a UUID or `date +%s` — groups all variants from a single invocation.

Write a one-paragraph summary to `.godmode/bench-summary.md`, overwriting any prior version:
```
# Bench <run_id> — <timestamp>
Ran `<metric_cmd>` N=<N> times across <k> variants. Baseline: <baseline>.
Best: <winner> at <median> (<delta>% vs baseline). Worst: <loser> at <median> (<delta>%).
Noisy: <list or "none">. All variants measured from clean HEAD <sha>. Reproduce: re-run
`/godmode:bench` with identical variants file.
```

## Hard Rules
1. READ-ONLY to the codebase. The only files this skill may write are `.godmode/bench-results.tsv` and `.godmode/bench-summary.md`. Touching any source file = abort + fail loud.
2. Refuse to run on a dirty working tree. `git status --porcelain` must be empty.
3. Restore the exact starting HEAD sha after the last variant. Verify and abort if mismatch.
4. Never skip the variance check. `cv > threshold` ALWAYS triggers retry, even if the delta looks conclusive.
5. Never fabricate numbers. If a run produces no number, record `NaN` and count it against N; never silently drop.
6. Commit the results TSV after every run — one commit per `run_id` with message `bench: <run_id> <k> variants`.
7. No external deps beyond `bash`, `awk`, `git`, and standard Unix utilities. No python, no jq, no node.
8. `metric_cmd` runs with `set -e; set -o pipefail`. Non-zero exit = failed run, not a zero measurement.

## Variance Recovery
```
FOR variant in variants:
    runs = collect(N)
    retries = 0
    WHILE cv(runs) > threshold AND retries < 3:
        runs = collect(N)           # full fresh block, NOT append
        retries += 1
    IF cv(runs) > threshold:
        status = "measurement_error"
    ELSE:
        status = "ok"
```
Each retry is a fresh N-run block; never mix runs from different retry attempts.

## Keep / Discard Discipline
```
KEEP a variant's measurement if:
  - N valid numeric samples collected
  - cv <= variance_threshold (possibly after retries)
  - prep and teardown both exited 0
  - git state restored cleanly between variants

DISCARD a variant's measurement if:
  - prep failed (record prep_failed, do NOT retry)
  - >3 retries still noisy (record measurement_error, keep best-effort row, mark unreliable)
  - metric_cmd produced NaN for >=N/2 runs
  - teardown left repo dirty (abort entire run, unsafe to continue)

On DISCARD of a whole run: git reset --hard to the snapshotted starting sha. Summary notes
the abort reason. TSV still gets partial rows with status=aborted.
```

## Stop Conditions
```
STOP when FIRST of:
  - all_measured: every variant has status in {ok, measurement_error, prep_failed}
  - variance_unrecoverable: >=ceil(k/2) variants are measurement_error (comparison is meaningless)
  - budget_exhausted: total metric_cmd invocations > N * k * 4 (N runs * k variants * 4 retries)
  - unsafe_state: teardown failed or HEAD drifted mid-run
On stop: always write summary.md and commit results.tsv, even on abort.
```

## Success Criteria
1. `bench-results.tsv` has exactly one row per variant in the run (k rows per `run_id`).
2. Every row has a `delta_pct` value (0.00 for the baseline row).
3. No variant is marked `measurement_error` unless cv truly exceeded threshold after 3 retries.
4. `bench-summary.md` names the winner, loser, baseline, and flags any noisy variants.
5. `git rev-parse HEAD` after the run matches the snapshotted starting sha.

<!-- tier-3 -->

## Error Recovery
| Failure | Action |
|--|--|
| Dirty working tree at start | Abort before first variant. Tell user to stash or commit. |
| `metric_cmd` non-numeric | Pipe through `tail -1 \| awk '{print $NF}'`. If still non-numeric, record NaN. |
| `prep` fails for a variant | Mark `prep_failed`, skip runs, continue to next variant. |
| Variance unrecoverable after 3 retries | Mark `measurement_error`, keep row, emit warning in summary. |
| HEAD drift mid-run | Abort. `git reset --hard <starting_sha>`. Refuse to emit comparison. |
| `teardown` leaves repo dirty | Abort entire run. Do not proceed to next variant. |

## TSV Schema
`.godmode/bench-results.tsv` is append-only. Header written on first create:
```
timestamp	run_id	variant	N	mean	median	stdev	cv	delta_pct	status	metric_cmd	git_ref
```
`status` is one of: `baseline`, `ok`, `measurement_error`, `prep_failed`, `aborted`.
Never rewrite history. One `run_id` groups k rows. Commit every run.

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
AI review approval is missing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 26 GitHub stars
Stars/forks activity: 26 stars, 7 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

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Source & usage notes

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Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: arbazkhan971/godmode
License: MIT
Version: Unknown
Last GitHub push: Aug 28, 2026
Registry updated: Sep 12, 2026
Instruction path: skills/bench/SKILL.md @ 18bfc31d6698

Version reported in registry metadata; check source releases before relying on it.

Quality

56/100

Promising

Trust

60/100

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More details

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    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Low GitHub adoption signal",
      "AI review approval is missing",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "GitHub adoption: 26 GitHub stars",
      "Stars/forks activity: 26 stars, 7 forks; issue activity unavailable in current metadata"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 56,
    "label": "Promising"
  },
  "supply": {
    "track": "Research and knowledge work",
    "scenario": "Research agents",
    "maintenance": "19d since push",
    "risk": "Needs review"
  },
  "alternative_skills": [],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "Low GitHub adoption signal",
    "No OpenAgentSkill engagement data yet",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "AI review approval is missing"
  ],
  "agent_contract": {
    "task_input": "Use bench in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 68/100 Manual review",
      "Audit: 72/100 Needs review",
      "Safety: 28/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "arbazkhan971-bench (bench)",
      "install_command": "npx skills add arbazkhan971/godmode --skill bench",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "arbazkhan971-bench",
      "task": "Use bench in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/arbazkhan971-bench",
    "api": "https://www.openagentskill.com/api/agent/skills/arbazkhan971-bench",
    "audit": "https://www.openagentskill.com/skills/arbazkhan971-bench/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=arbazkhan971-bench&task=Use%20bench%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20bench%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20bench%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/arbazkhan971-bench/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/arbazkhan971-bench"
  }
}

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Creator: arbazkhan971
Source: arbazkhan971/godmode
Indexed by: OpenAgentSkill community index

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