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/danielvm-git/bigpowers/using-bigpowersnpx skills add danielvm-git/bigpowers --skill using-bigpowersgit clone --depth 1 https://github.com/danielvm-git/bigpowersWrote 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/danielvm-git/bigpowers/using-bigpowers)<a href="https://agentmods.dev/skills/danielvm-git/bigpowers/using-bigpowers"><img src="https://agentmods.dev/badge/skills/danielvm-git/bigpowers/using-bigpowers.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 | $0.00064 | $0.01256 |
| Opus 5 | $0.00032 | $0.00628 |
| Sonnet 5 | $0.00013 | $0.00251 |
| Haiku 4.5 | $0.00006 | $0.00126 |
Grade A, and why
using-bigpowers 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 yesterday.
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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Using bigpowers
HARD GATE — HARD GATE — This skill is the entry point. Do NOT skip it when onboarding new users or starting a new session. It establishes the bigpowers methodology, lifecycle phases, and conventions.
Welcome to bigpowers — a lifecycle of agent skills for production-ready, TDD-driven software by solo developers. The live catalog and its count are generated in SKILL-INDEX.md; never hardcode the number here.
Install
npx bigpowers setup # one-shot setup
npm install -g bigpowers # global install
bigpowers setup # sync skills + link to your tools
From source: git clone → bash scripts/install.sh. Package: bigpowers on npm.
Reach tools: Cline — native AGENTS.md reader (no extension). Aider — opt-in .aider.conf.yml with read: AGENTS.md (Aider-AI/aider). Codex CLI — optional .codex/config.toml via seed-conventions; global ~/.codex/AGENTS.md from install.sh.
What bigpowers is
A curated set of skills organized around the PMBOK developer lifecycle. Each skill does one thing. Skills reference each other by name only — low coupling, high cohesion. All written output goes to specs/ at your project root.
The lifecycle at a glance
See orchestrate-project for the canonical 6-phase lifecycle.
BOOTSTRAP using-bigpowers (this skill, first time only)
↓
DISCOVER survey-context → research-first → elaborate-spec
↓
DESIGN model-domain / define-language / grill-me / deepen-architecture / design-interface
↓
PLAN scope-work → slice-tasks → plan-work / plan-refactor
↓
INITIATE kickoff-branch → guard-git / hook-commits / seed-conventions
↓
SPIKE? spike-prototype → (feeds back to plan-work)
↓
EXECUTE develop-tdd + enforce-first ←→ delegate-task / dispatch-agents / execute-plan
↓
VERIFY run-evals → verify-work
↓
HARDEN wire-observability (any phase)
↓
BUG? investigate-bug → diagnose-root → validate-fix
↓
REVIEW audit-code → request-review → respond-review
↓
INTEGRATE commit-message → release-branch
↓
SUSTAIN inspect-quality / organize-workspace (ongoing)
UTILITY terse-mode / craft-skill / edit-document (any phase)
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.
- yesterday First seen · 112 lines · 64 tokens per session scan A 5857ed83da24
using-bigpowers is a skill published in the GitHub repository danielvm-git/bigpowers (163 stars, last pushed 3d ago), licensed MIT. It adds 64 tokens to every session and 1,256 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 2026-09-03.
Other skills, from other repositories
cognitive-compile
Use when source material must be transformed into a compact, evidence-aware model for learning, decisions, or an Obsidian concept note.
openehr-assistant
This skill should be used when a conversation touches openEHR outside a task owned by a dedicated skill — e.g. "what is an archetype?", "how do openEHR templates work?", "which composition category fits this data?", "find me a guide on X", "where do I start with openEHR modeling?" — or names openEHR concepts (ADL…
project-retrospective
项目级 Skill 批量复盘。在一个项目/任务闭环完成后，主动扫描本次对话中调用过的所有 Skill，逐个判断是否需要新建或更新，批量调用 skill-capture-closure 完成沉淀，最后输出复盘报告。触发词：「项目做完了」「更新一下Skill」「基于刚刚的过程更新规范」「做个项目复盘」「沉淀一下经验」「把这次的经验记下来」。.
administer-ams
接下来是「学术动机量表」（AMS-GSR 28），共 28 题，分 4 批完成，每批 7 题。 请用 1-7 分来回答每道题，1=完全不符合，7=非常符合。 预计耗时：约 8-10 分钟。 题目会问「你为什么从事科研/研究生学习」，请根据真实感受作答，没有对错之分。.
administer-rcss
施测科研人员认知风格量表（RCSS），评估横向整合 vs 垂直深度的认知偏好。当用户选择填写量表、或画像中RCSS数据缺失时使用。.
oop-composition-over-inheritance
This skill should be used when the user asks about "composition over inheritance", mentions "favoring composition", discusses deep inheritance hierarchies, fragile base class problems, or wants to combine behaviors flexibly.