oceanbase/powercontext is a system for preserving useful work context across conversations, people, and AI agents. It stores durable memories, current task state, handoffs, reusable experiences, sources, and revisions so work can resume without rereading its full history. The catalogue add-ons provide agent workflows and integrations for recording and using this context.
Borrowing it
Nothing to install: this file belongs to oceanbase/powercontext. 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/oceanbase/powercontext/master/AGENTS.mdgit clone --depth 1 https://github.com/oceanbase/powercontextWrote 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/instructions/oceanbase/powercontext/agents-md)<a href="https://agentmods.dev/instructions/oceanbase/powercontext/agents-md"><img src="https://agentmods.dev/badge/instructions/oceanbase/powercontext/agents-md/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/instructions/oceanbase/powercontext/agents-md"><img src="https://agentmods.dev/badge/instructions/oceanbase/powercontext/agents-md.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 | $0.01704 | $0.01704 |
| Opus 5.5 | $0.00682 | $0.00682 |
| Sonnet 5.5 | $0.00341 | $0.00341 |
| Haiku 4.5 | $0.00170 | $0.00170 |
Grade A, and why
powercontext AGENTS.md 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 13d 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Guidelines
Project Structure & Module Organization
powercontext is a Python package built with uv and Hatchling. Runtime code lives in src/powercontext/; keep public package exports in src/powercontext/__init__.py and place new modules beside related code. Tests live in tests/; organize focused tests around observable behavior and keep cross-component acceptance scenarios in tests/e2e/. Documentation is split by locale under docs/en/ and docs/zh/, with RFC material in each locale's rfcs/ directory. The Fumadocs site lives in website/; its generated content/docs/, .generated/, and out/ directories are not source material.
Build, Test, and Development Commands
make install: runuv syncand installprekhooks.make skills-install: install the recommended agent skills pinned inskills-lock.json; requiresnpxand a Codex restart.make check: verify the lock file, run all pre-commit hooks, and runty check.make test: runpytestwith doctest support.tox: run tests and type checks across Python 3.11, 3.12, 3.13, and 3.14.make build: cleandist/and build the wheel.make docs-test: lint and build the static website, including API references.make docs: serve the Fumadocs website locally.
Agent Skills
Use an available skill only when it matches the current task, and read its SKILL.md before applying it. Recommended skills are pinned in skills-lock.json; contributors can install them before a new Codex session with make skills-install.
Coding Style & Naming Conventions
Target Python 3.11+. Use PEP 8 naming: modules and functions in snake_case, classes in PascalCase, constants in UPPER_SNAKE_CASE. Ruff enforces formatting and linting with a 120-character line length; run uv run prek run -a before committing if you do not use the installed hooks. Keep comments focused on non-obvious intent rather than restating code.
Observability Changes
Before adding or changing operational logs, metrics, or spans, read the developer guide: English / 中文. The operational field contract is documented in Logs, metrics, and tracing.
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.
- 13d ago Changed · +12 lines · +243 tokens per session 36193a26c819
- 1mo ago Changed · +1 lines · +375 tokens per session 056278969472
- 1mo ago Changed · +3 lines · +37 tokens per session b29568e68431
- 1mo ago Changed · +21 tokens per session 148713e299b1
- 2mo ago First seen · 69 lines · 1,028 tokens per session scan A 4a1b833c5ebd
powercontext AGENTS.md is an instructions file published in the GitHub repository oceanbase/powercontext (1,393 stars, last pushed yesterday), licensed Apache-2.0. It adds 1,704 tokens to every session, about $0.0068 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 2026-08-30.
Other instructions, from other repositories
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next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
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Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.