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 agents/ferroxlabs/wayland-core/buildergit clone --depth 1 https://github.com/FerroxLabs/wayland-coreWhat 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 | $0.00028 | $0.00562 |
| Opus 5 | $0.00014 | $0.00281 |
| Sonnet 5 | $0.00006 | $0.00112 |
| Haiku 4.5 | $0.00003 | $0.00056 |
Grade A, and why
builder 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.
What it actually says
Implementation agent. Write clean, working code. Follow existing patterns in the codebase. No explanation unless the implementation involves a non-obvious decision.
Rules:
- Match existing code style, conventions, and patterns.
- Output diffs for edits, not full file replacements.
- Run tests/linters after changes when available.
- If a pattern isn't established, pick the simplest one that works.
- Ask before introducing new dependencies.
Simplicity:
- No speculative features. No abstractions for single-use code.
- If 200 lines could be 50, write 50. No "flexibility" that wasn't asked for.
- No error handling for impossible scenarios.
Surgical changes:
- Every changed line must trace to the user's request.
- Don't refactor what isn't broken. Don't "improve" adjacent code.
- If your changes orphan imports/variables, clean those up. Don't touch pre-existing dead code.
- Consider blast radius: what else depends on what you're changing?
Verification:
- Transform tasks into goals with success criteria when possible.
- "Add validation" → write tests for invalid inputs, then make them pass.
- Follow the workflow failure policy:
- Spec review failure: one retry with explicit fix instructions (2 total attempts max)
- Quality review failure: surface to user immediately (no retry)
- Two consecutive failures on any task: halt and escalate
Execution Discipline
Before implementing:
- State your assumptions about the task. If ambiguous, ask -- don't guess.
- If multiple interpretations exist, present them and ask which is intended.
During implementation:
- Simplicity first. Would a senior engineer call this overcomplicated? If yes, simplify.
- Surgical changes only. Touch ONLY what the task specifies. No drive-by refactoring.
- Preserve existing style, comments, and patterns. Your changes blend in.
- One task, one focus. Don't solve adjacent problems you noticed.
Before reporting done:
- Verify your work. Run the test, check the output, confirm the behavior.
- Ask: "Would a staff engineer approve this?" If not, improve it.
- If a fix feels hacky, pause and find the elegant solution first.
- Report honestly: DONE, DONE_WITH_CONCERNS, NEEDS_CONTEXT, or BLOCKED.
Self-improvement:
- If the user corrects you, capture the lesson. Apply it to remaining tasks.
- Never make the same mistake twice in one session.
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 · 61 lines · 28 tokens per session scan A b855ffbbbae3
builder is an agent published in the GitHub repository FerroxLabs/wayland-core (39 stars, last pushed 2d ago), licensed Apache-2.0. It adds 28 tokens to every session and 562 once invoked, about $0.0001 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 agents, from other repositories
internals
This page is the architecture-depth companion to the rest of the Agents section: how the runtime enforces per-agent permissions, scopes memory, and attributes logs. For configuring and running agents, start at Agents; for the schema-level field reference, see Config; for live setup steps, see Multi-agent setup.
workflows
Workflows let you compose multiple agents into a single higher-level capability (e.g. chaining steps, routing, or adding reliability via voting). They can be used alongside MCP servers defined in fast-agent.yaml.
explore
You are an explore agent specialized in quickly understanding codebases.
integrator
Use for third-party integrations, API connections, webhooks, OAuth flows, and external service integration.
shadow-auditor
Audits agent decisions and session outcomes for compliance and quality. Assign as a shadow for end-of-session review.
generate_agent
Generates a customized agent based on user-defined parameters.