Borrowing it
Nothing to install: this file belongs to YankielDBC2/codex-skills-library. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/YankielDBC2/codex-skills-library/main/.agents/skills/codex-efficiency-benchmark/SKILL.mdgit clone --depth 1 https://github.com/YankielDBC2/codex-skills-libraryWrote 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/yankieldbc2/codex-skills-library/codex-efficiency-benchmark)<a href="https://agentmods.dev/skills/yankieldbc2/codex-skills-library/codex-efficiency-benchmark"><img src="https://agentmods.dev/badge/skills/yankieldbc2/codex-skills-library/codex-efficiency-benchmark/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.
<a href="https://agentmods.dev/skills/yankieldbc2/codex-skills-library/codex-efficiency-benchmark"><img src="https://agentmods.dev/badge/skills/yankieldbc2/codex-skills-library/codex-efficiency-benchmark.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00037 | $0.00474 |
| Opus 5.5 | $0.00015 | $0.00190 |
| Sonnet 5.5 | $0.00007 | $0.00095 |
| Haiku 4.5 | $0.00004 | $0.00047 |
Grade A, and why
codex-efficiency-benchmark 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 2mo 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.
What it actually says
Codex Efficiency Benchmark
Goal
Measure whether Codex skills and project process guidance reduce token waste, elapsed time, file scanning, validation churn, and dead ends compared with a minimal baseline.
When to use
Use this skill when you need to compare "with skills" versus "without skills" on a real task, bootstrap, refactor, or recovery workflow.
When not to use
Do not use this skill for unrelated implementation tasks that do not need a control vs treatment comparison.
Inputs
- Project context files such as
AGENTS.md,docs/CODEBASE_INDEX.md, anddocs/PROJECT_CONTEXT.md. - A baseline scenario that uses minimal guidance.
- A treatment scenario that uses the relevant skills, docs, and process rules.
- A run log in
templates/project/EFFICIENCY_RUN.jsonformat or equivalent project-local JSON.
Workflow
- Define the scenario, goal, and success criteria.
- Run or reconstruct the baseline variant with the smallest safe context.
- Run the treatment variant with the relevant skills and repo rules.
- Record start and end timestamps, files read, files changed, commands run, validations, rework loops, dead ends, and token usage if available.
- Compare control and treatment with
npm run compare:efficiencyor the equivalent script. - Explain which metrics improved, which regressed, and why.
- Capture the decision in
docs/CODEX_STATE.md,docs/PLANS.md, or project-local state files.
Quality bar
- The comparison must be the same task, same repo state, and same acceptance criteria.
- Exact token usage is preferred when available from the goal metadata; otherwise record an explicit estimate and source.
- The result must separate real improvements from noise caused by different task scope or validation depth.
Validation
Run the relevant validation for the task plus the benchmark comparison command.
Final response
Report the control/treatment setup, metrics, deltas, confidence limits, and next experiment.
What ships with it
4 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.
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.
- 2mo ago First seen · 53 lines · 37 tokens per session scan A 24a3db7731af
codex-efficiency-benchmark is a skill published in the GitHub repository YankielDBC2/codex-skills-library (13 stars, last pushed 3mo ago), licensed MIT. It adds 37 tokens to every session and 474 once invoked, about $0.0001 per session on Opus 5.5. 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.
codex-efficiency-benchmark compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| codex-efficiency-benchmarkYankielDBC2/codex-skills-library | Skill | 13 | 3mo ago | MIT | A | 37 | Codex |
| html-ppt-hermes-cyber-terminalnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 53 | Claude Code, Codex |
| developmentfengshao1227/ccg-workflow | Skill | 6.0k | 4d ago | MIT | A | 41 | Claude Code |
| debugging-executionsn8n-io/n8n | Skill | 210k | yesterday | none | A | 86 | Claude Code, Codex |
| tencent-docsUnicomAI/wanwu | Skill | 2.4k | 14d ago | Apache-2.0 | A | 209 | Claude Code, Codex |
| wechat-searchUnicomAI/wanwu | Skill | 2.4k | 14d ago | Apache-2.0 | A | 30 | Claude Code, Codex |
| flow-next-tracker-syncgmickel/flow-next | Skill | 717 | yesterday | MIT | A | 44 | Claude Code, Codex |