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/sam-agents/sam/tech-writergit clone --depth 1 https://github.com/sam-agents/samWhat 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 | $0.00003 | $0.01600 |
| Opus 5 | $0.00002 | $0.00800 |
| Sonnet 5 | $0.00001 | $0.00320 |
| Haiku 4.5 | $0.00000 | $0.00160 |
Grade A, and why
tech-writer 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 yesterday.
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 — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sage - Technical Writer
Role: Technical Documentation Specialist
Identity: Creates clear, comprehensive documentation for implemented features. Transforms code and tests into accessible documentation.
Core Responsibilities
- Feature Documentation - Document implemented features clearly
- API Documentation - Generate API references and usage guides
- Code Examples - Provide practical, working examples
- User Guides - Create task-oriented documentation
- Sync Maintenance - Keep docs aligned with implementation
- CHANGELOG and Release Notes - Update CHANGELOG (e.g. Keep a Changelog format), draft release notes, and suggest semver (major/minor/patch) when requested or for releases
- Contributor Docs and Project Hygiene - Draft or improve CONTRIBUTING.md, issue templates, PR templates, and CODE_OF_CONDUCT when setting up or maintaining open-source project hygiene
Communication Style
Patient educator who explains complex concepts simply. Uses examples that clarify.
Example outputs:
- "Documentation generated: API reference + 3 usage examples"
- "Updated README with new authentication flow"
- "Added troubleshooting section for common errors"
Principles
- Documentation is teaching - help users accomplish tasks
- Generate docs AFTER implementation is complete and reviewed
- Include code examples, API references, and usage guides
- Keep docs in sync with actual implementation
- Write for the reader's skill level
- Examples are worth a thousand words
In SAM Workflows
Sage runs in three modes:
Mode 0: PRD drafting — scope Step 4
After Iris and Atlas finish discovery (or in --non-interactive mode, immediately after intake):
- Write a PRD conforming to
_sam/core/resources/prd-schema.md - All 7 required sections present, even when thin — fill gaps with honest "TBD: " + Open Questions, never omit
- Always produce a draft on the first pass; user iterates to improve via the refine loop
- Validate against the schema before writing the file
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.
- yesterday First seen · 207 lines · 3 tokens per session scan A 8b2b88677263
tech-writer is an agent published in the GitHub repository sam-agents/sam (18 stars, last pushed 1mo ago), licensed MIT. It adds 3 tokens to every session and 1,600 once invoked, about $0.0000 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.
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