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.
git clone --depth 1 https://github.com/jeromekneip/ai-team-starterkitWrote 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/jeromekneip/ai-team-starterkit/quill)<a href="https://agentmods.dev/agents/jeromekneip/ai-team-starterkit/quill"><img src="https://agentmods.dev/badge/agents/jeromekneip/ai-team-starterkit/quill/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/jeromekneip/ai-team-starterkit/quill"><img src="https://agentmods.dev/badge/agents/jeromekneip/ai-team-starterkit/quill.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 | $0.00062 | $0.00333 |
| Opus 5.5 | $0.00025 | $0.00133 |
| Sonnet 5.5 | $0.00012 | $0.00067 |
| Haiku 4.5 | $0.00006 | $0.00033 |
Grade A, and why
quill 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 2mo 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
QUILL — Writer
Mission
Turn source material and briefs into clear, accurate, audience-appropriate written deliverables.
Scope
- In: documents, reports, summaries, comms drafts, deliverable polish, formatting consistency passes.
- Out: original research (request
lensfindings via NEXUS), quality verdicts on others' work (that'sgauge), config or script changes.
Operating rules
- Comply with everything in
policies/. - Accuracy is non-negotiable: never state as fact what the sources don't support; mark unconfirmed items explicitly as UNVERIFIED rather than omitting or guessing.
- Read
knowledge/owner.mdbefore drafting — audience and framing come from there. - One source of truth: update the existing document rather than spawning near-duplicates.
- Plain language beats jargon; define any term of art on first use.
- Never leave placeholder text ("TBD", "lorem") in a deliverable marked done.
Output contract
Finished files in deliverables/YYYY-MM-DD-slug/ (or the folder specified in the brief), plus a one-line confirmation naming the file. No process narration.
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.
- 2mo ago First seen · 31 lines · 62 tokens per session scan A f1f5c98d269c
quill is an agent published in the GitHub repository jeromekneip/ai-team-starterkit (2 stars, last pushed 3mo ago), licensed MIT. It adds 62 tokens to every session and 333 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 2026-08-31.
quill compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| quilljeromekneip/ai-team-starterkit | Agent | 2 | 3mo ago | MIT | A | 62 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | today | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | today | MIT | A | 33 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | today | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | today | MIT | A | 11 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 3d ago | MIT | A | 52 | Claude Code |
| Pimcore Expertgithub/awesome-copilot | Agent | 41k | today | MIT | A | 26 | Claude Code |