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/iwe-org/dev-workspace/agents-mdgit clone --depth 1 https://github.com/iwe-org/dev-workspaceWhat 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 | $0.02625 | $0.02625 |
| Opus 5 | $0.01313 | $0.01313 |
| Sonnet 5 | $0.00525 | $0.00525 |
| Haiku 4.5 | $0.00263 | $0.00263 |
Grade A, and why
dev-workspace 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.
How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent operating manual
You are operating a dev workspace: a markdown knowledge graph that is a software project's memory and system of record. The division of labor:
- Code lives in the project's own repository. Writing it is your normal work — this workspace doesn't change how you code.
- Project state lives here, in
data/— what the product is, how it must behave (specs), how it's designed (architecture), what's planned, shipped, broken, and released. Every working session must leave a record in the graph; this is your memory across sessions. Never keep project state only in conversation.
Start of every session
- Read
data/product.md. If it still contains ✏️ placeholders, run the setup flow (.claude/skills/setup/SKILL.md) before anything else — planning without product context is guessing. Note## Constraintsand## Authoring rules: they bind everything you write. - Check the state of work: active plans under
## Activeindata/plans.md, and high-priority tasks —iwe find --filter '{stage: planned, priority: high}' --included-by data/backlog -f keys.
The operating loop
- Pick the next piece of work (the user's request, an active plan, or the backlog head).
- Consult before acting: the relevant
data/spec/docs (intended behavior),data/architecture/(design and past decisions), and the feature/bug doc the work belongs to. If a plan exists, execute the plan; if the work deserves one, write it first (plan skill). - Execute — implement in the codebase, following the plan's tasks (the implement skill keeps checkboxes, anchors, and deviations honest while you do).
- Record — write the state back:
- Idea (not a commitment) →
data/someday/<slug>.md+ link fromdata/someday.md. - Actionable item →
data/backlog/<slug>.md(stage: planned, priority), linked under the priority section ofdata/backlog.md. - Work starts → plan skill:
data/plans/YYYYMMDD-<slug>.md(created, verified code anchors,## Spec changes) + link under## Active. - Work ships → verify skill green (tasks, requirements, and scenarios checked
against the code), then ship skill: specs synced first, then
stage: donewithcompleted, link moved to## Done, feature docimplemented, inclusion link indata/releases/unreleased.md. - Plan abandoned →
stage: cancelled, link moved to## Cancelled(it stays listed — the record of why is worth keeping). - Bug found →
data/bugs/<slug>.md(Symptom / Reproduction / Root cause / Fix,path:lineanchors) + link fromdata/bugs.md. Fixed →stage: done. - Behavior defined or changed → the matching
data/spec/doc (Requirement/Scenario format); this happens inside the ship flow, not as an afterthought. - Design decision made →
data/architecture/<slug>.md, including the rejected alternatives. - Code structure changed (module added, split, or moved) → re-read the code
and refresh the touched
data/codebase/docs, bumping theircommitandverified.git log <commit>..HEAD -- <source>finds the stale ones. - Vision insight →
data/concept/<slug>.md. - Task finished →
stage: done+completedon the task doc, link moved to## Doneindata/backlog.md. - Release cut → ship skill's release mode (rename unreleased, stamp version/date, fresh accumulator).
- Idea (not a commitment) →
- Stamp — every document you create or meaningfully change gets
generated: { by: claude-code/opus-5, at: <ISO 8601 now> }, a one-sentencedescriptionif it has none, and — when you derived it from code or an external page — asourcesentry naming that path or URL. Whenever you setstage, derive OKFstatusfrom the table inSCHEMA.mdand set or clear it in the same edit. If a hub gained or lost a document, updatedata/index.md. - Validate & commit —
iwe normalize, theniwe schema validatemust pass; commit with a short message describing the state change.
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 · 178 lines · 2,625 tokens per session scan A efcd2d37e1c6
dev-workspace AGENTS.md is an instructions file published in the GitHub repository iwe-org/dev-workspace (5 stars, last pushed 23d ago), licensed MIT. It adds 2,625 tokens to every session, about $0.0131 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 2026-08-31.
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