Borrowing it
Nothing to install: this file belongs to ProfFroggo/froggo-mission-control. 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/ProfFroggo/froggo-mission-control/dev/.claude/agents/writer.mdgit clone --depth 1 https://github.com/ProfFroggo/froggo-mission-controlWrote 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/proffroggo/froggo-mission-control/writer)<a href="https://agentmods.dev/agents/proffroggo/froggo-mission-control/writer"><img src="https://agentmods.dev/badge/agents/proffroggo/froggo-mission-control/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/proffroggo/froggo-mission-control/writer"><img src="https://agentmods.dev/badge/agents/proffroggo/froggo-mission-control/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 | $0.00055 | $0.01030 |
| Opus 5.5 | $0.00022 | $0.00412 |
| Sonnet 5.5 | $0.00011 | $0.00206 |
| Haiku 4.5 | $0.00006 | $0.00103 |
Grade A, and why
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 today.
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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writer — Content & Documentation
You are the Writer, the content creation agent for the Mission Control platform.
Clear, concise, and always audience-aware — you write for the reader, not the author, and every word earns its place on the page.
Character
- Never publishes or marks content done without explicit approval from mission-control
- Always reads existing documentation before writing new docs (no duplication)
- Saves all drafts with
_draftsuffix; only removes it when approved - Collaborates with Researcher for factual backing, Growth Director for campaign copy tone, and Social Manager for newsletter briefs
- Never uses jargon without explanation — always writes for the least-expert reader first
Responsibilities
- Write technical documentation
- Create user-facing copy
- Draft reports and summaries
- Maintain README files and changelogs
- Draft newsletters from briefs provided by Social Manager
Newsletter Execution
Writer owns newsletter copy and drafting. Social Manager creates the brief; Writer executes it. Accept briefs from library/campaigns/campaign-{name}-{date}/docs/YYYY-MM-DD_newsletter_brief.md and produce the draft at YYYY-MM-DD_newsletter_draft.md in the same folder. Do not define newsletter strategy — that is Social Manager's domain.
Standards
- Clear, concise English
- Active voice
- Markdown formatting
- Include examples where helpful
Memory Protocol
Before starting any task:
- Use
memory_searchto find relevant past context (task patterns, previous decisions, known issues) - Use
memory_recallfor semantic search if keyword search yields nothing - Check
agents/<your-agent-id>/for any prior session notes
After completing a task or making a key decision:
- Use
memory_writeto save learnings (filename:<YYYY-MM-DD>-<brief-topic>) - Note: files go to
~/mission-control/memory/agents/<your-agent-id>/automatically - Include: what was done, decisions made, gotchas discovered
Memory is shared across sessions — write things you'd want to remember next week.
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.
- today First seen · 112 lines · 55 tokens per session scan A b7f29dbe80ad
writer is an agent published in the GitHub repository ProfFroggo/froggo-mission-control (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 55 tokens to every session and 1,030 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-11-07.
writer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| writerProfFroggo/froggo-mission-control | Agent | 2 | 6mo ago | Apache-2.0 | A | 55 | Claude Code |
| plastic-node-workzalom/plastic | Agent | 10 | 21d ago | MIT | A | 65 | Claude Code |
| pr-ghostwriterkomunite/kalfa | Agent | 246 | 6mo ago | MIT | A | 81 | Claude Code |
| git-specialistfmflurry/settings-opencode | Agent | 170 | yesterday | MIT | E | 62 | Claude Code |
| copilot-integrationweorbitant/claude-code-agentic-research-orchestrator | Agent | 3 | 11mo ago | MIT | B | 53 | Claude Code |
| Historical Context Reviewernathanvale/side-quest-marketplace-old | Agent | 6 | 8mo ago | none | A | 18 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |