Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/bumblebiber/its-over-9k/bundle-benchnpx skills add Bumblebiber/its-over-9k --skill bundle-benchgit clone --depth 1 https://github.com/Bumblebiber/its-over-9kWrote 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.
[](https://agentmods.dev/skills/bumblebiber/its-over-9k/bundle-bench)<a href="https://agentmods.dev/skills/bumblebiber/its-over-9k/bundle-bench"><img src="https://agentmods.dev/badge/skills/bumblebiber/its-over-9k/bundle-bench.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00070 | $0.00982 |
| Opus 5 | $0.00035 | $0.00491 |
| Sonnet 5 | $0.00014 | $0.00196 |
| Haiku 4.5 | $0.00007 | $0.00098 |
Grade A, and why
bundle-bench 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 3d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
bundle-bench — measured bundles, not believed ones
The framework-scout trial (Step 4) answers "is this ONE candidate clean and cheap in isolation?". This skill answers the next question: which COMBINATION of companions actually performs best? Same philosophy as karpathy/autoresearch: mutate the setup, run a fixed workload, keep or discard by the numbers, repeat.
This is expensive. One combo = 5 non-interactive Claude sessions
(benchmarks/run-bench.sh); a full ablation over 8 companions ≈ 15 combos.
Never run it casually, never run it on the live config. Get explicit user
sign-off on the combo list (= the budget) before the first run.
Ground rules (inherited from the trial protocol)
- The live
~/.claudeis never the test bench. Every run uses a sandboxedCLAUDE_CONFIG_DIR. The runner refuses~/.claudeoutright. - Numbers beat claims. A combo "feels better" is not a result; the result JSON is.
- Comparable or worthless. Only runs with identical
tasks_hash,target_refandmodelcompare. The runner stamps all three.
Step 1 — Sandbox per combo
export SB=/tmp/o9k-bench-sandbox-<combo>
mkdir -p "$SB"
cp ~/.claude/.credentials.json "$SB"/ 2>/dev/null || true # auth only, nothing else
Then install exactly the combo under test into the sandbox — plugins via
CLAUDE_CONFIG_DIR=$SB claude plugin install …, MCP servers via
CLAUDE_CONFIG_DIR=$SB claude mcp add … --scope user. Record versions; the
PR needs them. The bare baseline gets credentials and nothing else.
Step 2 — Ablation plan (not brute force)
2^n combos is waste. Run in this order, stop early when the picture is clear:
bare— no plugins, no MCP. The floor.o9k-pillars— the 6 pillars alone. Measures o9k's own overhead/payoff.o9k+<companion>— pillars + ONE companion each (serena, hmem, superpowers, context7, ponytail, …). Measures each companion's marginal value.- Greedy: take the best single additions, combine them, measure again. A companion that helped alone but not in combination is redundancy — that's a finding, record it.
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.
- 3d ago First seen · 86 lines · 70 tokens per session scan A 993d7ec35405
bundle-bench is a skill published in the GitHub repository Bumblebiber/its-over-9k (0 stars, last pushed 7d ago), licensed MIT. It adds 70 tokens to every session and 982 once invoked, about $0.0003 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 2026-08-31.
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