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/workstream-labs/workstreams/learningsgit clone --depth 1 https://github.com/workstream-labs/workstreamsWhat 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 | $0.00225 | $0.00225 |
| Opus 5 | $0.00112 | $0.00112 |
| Sonnet 5 | $0.00045 | $0.00045 |
| Haiku 4.5 | $0.00022 | $0.00022 |
Grade A, and why
workstreams learnings.instructions.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
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 28 lines · 225 tokens per session scan A 9c9af2e42865
workstreams learnings.instructions.md is an instructions file published in the GitHub repository workstream-labs/workstreams (77 stars, last pushed 4mo ago), with no licence file. It adds 225 tokens to every session, about $0.0011 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
oh-my-multica AGENTS.md
Instructions for xiaohei-info/oh-my-multica, covering agents.md — repository development conventions, hard rules, tdd, errors teach users and definition of done.
cc-harness CLAUDE.md
Instructions for lookfree/cc-harness, covering cc-harness, 工作方式, 跑起来, 架构 and 关键事实（动手前必须知道，多数是审查实测的）.
wezdeck AGENTS.md
Instructions for yunsii/wezdeck, covering agents, loading rule, task routing and hard rules.
growmos AGENTS.md
Instructions for codician-team/growmos: This repository keeps a knowledge graph in .growmos/ (entities, typed relations, provenance, profiles, a journal). It is the shared world model that survives context windows. Treat it as memory you read at the start of work and write to as you develop. Zero-config commands.
wiff AGENTS.md
Instructions for xxxoooxoxo/wiff, covering agents.md, orchestrating with wiff (driving it from a harness) and working on this codebase.
forge-orchestrator CLAUDE.md
Claude Code instructions for tarunms7/forge-orchestrator, covering workflow orchestration, 1. plan mode default, 2. subagent strategy, 3. self-improvement loop and 4. verification before done.