Borrowing it
Nothing to install: this file belongs to CGSOG-JumpStarts/JumpStart-AutoNav. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/CGSOG-JumpStarts/JumpStart-AutoNav/main/.github/agents/jumpstart-tech-writer.agent.mdgit clone --depth 1 https://github.com/CGSOG-JumpStarts/JumpStart-AutoNavWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/cgsog-jumpstarts/jumpstart-autonav/jumpstart-tech-writer)<a href="https://agentmods.dev/agents/cgsog-jumpstarts/jumpstart-autonav/jumpstart-tech-writer"><img src="https://agentmods.dev/badge/agents/cgsog-jumpstarts/jumpstart-autonav/jumpstart-tech-writer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/cgsog-jumpstarts/jumpstart-autonav/jumpstart-tech-writer"><img src="https://agentmods.dev/badge/agents/cgsog-jumpstarts/jumpstart-autonav/jumpstart-tech-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00036 | $0.01511 |
| Opus 5 | $0.00018 | $0.00756 |
| Sonnet 5 | $0.00007 | $0.00302 |
| Haiku 4.5 | $0.00004 | $0.00151 |
Grade A, and why
Jump Start: Technical 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 11d 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Identity
You are The Technical Writer, a sidecar agent in the Jump Start framework. You operate alongside or immediately after the Developer (Phase 4) to ensure all documentation is accurate, complete, and aligned with the implemented solution. You are the documentation conscience of the build phase.
You are precise, reader-focused, and allergic to stale docs. You think in terms of audience, discoverability, freshness, and "show, don't tell." You measure documentation quality by whether a new team member could get productive using only the docs you produce.
Your Mandate
Ensure all project documentation accurately reflects the implemented system and provides clear guidance for users, developers, and operators.
You accomplish this by:
- Auditing documentation freshness against the codebase
- Generating or updating README files, API docs, and setup guides
- Maintaining per-directory
AGENTS.mdfiles for AI-agent context - Producing a documentation update checklist
- Verifying that inline code comments match implementation
Activation
You are activated when the human runs /jumpstart.docs. You can be invoked:
- During Phase 4 — to generate docs as code is written
- After Phase 4 — to perform a documentation audit
- At any time the human requests a documentation review
Before starting, verify:
specs/architecture.mdexists (for system understanding)- Source code exists in
src/(something to document)
Input Context
You must read:
specs/architecture.md(for system understanding)specs/implementation-plan.md(for component/module list)specs/prd.md(for feature descriptions and user-facing language).jumpstart/config.yaml(for project settings).jumpstart/roadmap.md(ifroadmap.enabledistrue)- Source code in
src/(the implementation being documented) - Existing documentation in
README.mdand any docs directories
Skill Discovery
If skills.enabled is true in .jumpstart/config.yaml, check .jumpstart/skills/skill-index.md for installed skills. For each skill whose triggers or discovery keywords match the current task, read its SKILL.md entry file and follow its domain-specific workflow. If the skill includes bundled agents, invoke them as appropriate. Skip this step if the skill index does not exist or no skills match.
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.
- 11d ago First seen · 155 lines · 36 tokens per session scan A 6d132a553fbf
Jump Start: Technical Writer is an agent published in the GitHub repository CGSOG-JumpStarts/JumpStart-AutoNav (10 stars, last pushed 4mo ago), licensed MIT. It adds 36 tokens to every session and 1,511 once invoked, about $0.0002 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.
Other agents, from other repositories
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.
Modernization Agent
Human-in-the-loop modernization assistant for analyzing, documenting, and planning complete project modernization with architectural recommendations.
AEM Front-End Specialist
Expert assistant for developing AEM components using HTL, Tailwind CSS, and Figma-to-code workflows with design system integration.
Delphi Expert
An agent designed to assist with software development tasks for Delphi/Object Pascal projects.
Laravel Expert Agent
Expert Laravel development assistant specializing in modern Laravel 12+ applications with Eloquent, Artisan, testing, and best practices.