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 skills add KtKID/x-dev-pipeline --skill pipeline-efficiency-benchmarkgit clone --depth 1 https://github.com/KtKID/x-dev-pipelineWrote 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/ktkid/x-dev-pipeline/pipeline-efficiency-benchmark)<a href="https://agentmods.dev/skills/ktkid/x-dev-pipeline/pipeline-efficiency-benchmark"><img src="https://agentmods.dev/badge/skills/ktkid/x-dev-pipeline/pipeline-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/ktkid/x-dev-pipeline/pipeline-efficiency-benchmark"><img src="https://agentmods.dev/badge/skills/ktkid/x-dev-pipeline/pipeline-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 | $0.00131 | $0.03034 |
| Opus 5 | $0.00066 | $0.01517 |
| Sonnet 5 | $0.00026 | $0.00607 |
| Haiku 4.5 | $0.00013 | $0.00303 |
Grade A, and why
pipeline-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 today.
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 — 319 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pipeline Efficiency Benchmark
把一次 pipeline skill 优化拆成可复跑、可审计的七个阶段。执行器只接触公开任务、候选 skill 和运行工具;评分材料始终留在 grader 侧。
适用边界
用于优化和评测 pipeline skill,不用于普通产品开发任务。一个独立模型运行对应一个 run;同一 run 的后续 req、Dev、Verify、QA、Fix 延续原 run 身份。独立重放创建新 run。
固定产物
每个 iteration 至少保存:
iteration-N/
├── benchmark-manifest.json
├── runs/
│ └── <run-id>/
│ ├── workspace/
│ ├── executor-package-manifest.json
│ ├── eval_metadata.json
│ ├── timing.json
│ ├── grading.json
│ ├── pricing.json
│ └── benchmark-run.json
├── comparison.json
├── comparison.md
└── acceptance-report.md
benchmark-run.json 是跨版本比较的唯一输入。原始 session、评分和报告继续保留为证据。
所有人类可读报告都保留金额章节。金额证据不足时写 unknown 和原因,继续保存报告;禁止静默省略金额。
阶段 1:prepare
两种迁移 profile:
pipeline_candidate:创建全新 x-dev-pipeline 候选 workspace,复制公开考题、七个阶段 skills、共享x-dev-rag-call和六个运行 tools。public_task_only:向已有的其他框架 workspace 只添加公开考题,保留其现有环境,不注入 x-dev skills/tools。
创建全新 pipeline candidate:
python3 skills/pipeline-efficiency-benchmark/scripts/prepare_workspace.py \
--workspace <run-dir>/workspace \
--task-source <public-task-dir> \
--fixture-source <public-fixture-dir> \
--prompt-source <public-prompt> \
--skills-root <candidate-skill-snapshot> \
--json
向已有 OpenSpec 等候选工程放公开考题包:
python3 skills/pipeline-efficiency-benchmark/scripts/prepare_workspace.py \
--profile public_task_only \
--allow-existing \
--workspace <candidate-workspace> \
--task-source <public-task-dir> \
--fixture-source <public-fixture-dir> \
--prompt-source <public-prompt> \
--manifest-output <run-dir>/executor-package-manifest.json \
--json
--allow-existing 只允许保留已有文件;task/、fixture/、PROMPT.md 或 manifest 目标发生冲突时拒绝覆盖。
--skills-root 目录必须包含:
x-specx-adversarial-riskx-reqx-devx-verifyx-qa-gatex-fix
共享 skill:
x-dev-rag-call
skill 包的 assets/executor-tools/ 包含七个工具。prepare 向考生 workspace 复制六个运行工具:
xdev.pyvalidator.pyflag.pyreq.pyspec.pyverify.py
What ships with it
24 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.
- assets/executor-tools/flag.py 22 KB runs code
- assets/executor-tools/manifest.json 1.4 KB
- assets/executor-tools/metrics.py 40 KB runs code
- assets/executor-tools/README.md 527 B
- assets/executor-tools/req.py 27 KB runs code
- assets/executor-tools/spec.py 39 KB runs code
- assets/executor-tools/validator.py 15 KB runs code
- assets/executor-tools/verify.py 13 KB runs code
- assets/executor-tools/xdev.py 10 KB runs code
- assets/report-templates/acceptance-report.md 2.7 KB
- assets/report-templates/comparison-report.md 1.5 KB
- assets/report-templates/pricing.json 525 B
- evals/evals.json 2.0 KB
- references/benchmark-run-schema.md 2.5 KB
- references/pricing-schema.md 2.1 KB
- scripts/benchmark_common.py 3.2 KB runs code
- scripts/compare_runs.py 17 KB runs code
- scripts/metrics.py 40 KB runs code
- scripts/normalize_run.py 18 KB runs code
- scripts/prepare_workspace.py 7.9 KB runs code
- scripts/refresh_bundled_tools.py 2.5 KB runs code
- scripts/validate_comparison.py 12 KB runs code
- scripts/validate_workspace.py 8.3 KB runs code
- tests/test_pipeline_efficiency_benchmark.py 18 KB runs code
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.
- today First seen · 319 lines · 131 tokens per session scan A 9b4158ec2f69
pipeline-efficiency-benchmark is a skill published in the GitHub repository KtKID/x-dev-pipeline (12 stars, last pushed today), licensed MIT. It adds 131 tokens to every session and 3,034 once invoked, about $0.0007 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 2026-09-09.
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maintainer-preflight
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End-to-end app feature inventory and user-story testing workflow with a canonical tracker. Use when the user asks to audit every feature, derive expected behavior from code, test user journeys, or explicitly fix and retest documented UX or logistical defects.
elegant-architecture
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skill-lifeguard
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agent-session-format-check
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test-driven-development
Enforces TDD discipline with RED-GREEN-REFACTOR cycle. Use when writing new features, fixing bugs, or refactoring code. Ensures tests genuinely verify behavior.