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 instructions/ttalkkak-lab/opencode-contexty/agents-mdgit clone --depth 1 https://github.com/ttalkkak-lab/opencode-contextyWhat 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 | $0.00881 | $0.00881 |
| Opus 5 | $0.00441 | $0.00441 |
| Sonnet 5 | $0.00176 | $0.00176 |
| Haiku 4.5 | $0.00088 | $0.00088 |
Grade A, and why
opencode-contexty 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 2d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 2d ago First seen · 75 lines · 881 tokens per session scan A 7d84cf54d94b
opencode-contexty AGENTS.md is an instructions file published in the GitHub repository ttalkkak-lab/opencode-contexty (224 stars, last pushed 4mo ago), licensed AGPL-3.0. It adds 881 tokens to every session, about $0.0044 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 2026-08-30.
Other instructions, from other repositories
opencode-cache-hit AGENTS.md
Instructions for zhumengzhu/opencode-cache-hit, covering agents.md — maintainer & ai assistant guide, project purpose, documentation map, commands and code conventions.
FlowDeck AGENTS.md
Instructions for DVNghiem/FlowDeck, covering agents.md, 0. non-negotiables, 1. before writing code, 2. writing code: simplicity first and 3. surgical changes.
FlowDeck CLAUDE.md
Instructions for DVNghiem/FlowDeck, covering 1. think before coding, 2. simplicity first, 3. surgical changes, 4. goal-driven execution and agent skills.
campy AGENTS.md
Instructions for dropdevrahul/campy, covering campy - opencode pets plugin, project overview, available pets, file structure and commands.
super-backlog CLAUDE.md
Instructions for adam-s-k-i/super-backlog: This project uses the combined Backlog.md + Superpowers workflow. Read the integration block in AGENTS.md (section between SUPER-BACKLOG markers) and follow it. Tasks are managed exclusively through the backlog CLI.
opencode-claude-code-memory AGENTS.md
AGENTS.md instructions for ngvoicu/opencode-claude-code-memory, covering claude.md — opencode-claude-code-memory and conventions.