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/sruja-ai/srujaWrote 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/commands/sruja-ai/sruja/sruja-prime-task)<a href="https://agentmods.dev/commands/sruja-ai/sruja/sruja-prime-task"><img src="https://agentmods.dev/badge/commands/sruja-ai/sruja/sruja-prime-task/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/commands/sruja-ai/sruja/sruja-prime-task"><img src="https://agentmods.dev/badge/commands/sruja-ai/sruja/sruja-prime-task.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 | $0.00015 | $0.00330 |
| Opus 5.5 | $0.00006 | $0.00132 |
| Sonnet 5.5 | $0.00003 | $0.00066 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
sruja-prime-task 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 1mo 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
You are working on the Sruja repo. Follow AGENTS.md (especially AI agent workflow).
Goal: Load enough context to plan or implement safely—without pasting huge unrelated trees.
Do this in order:
- If the user gave a file path, run
sruja focus --file <that path>from the repo root and summarize blast radius and constraints. - If they gave an issue URL or ID, restate acceptance criteria and link to any spec they mentioned.
- Skim project / scope layer only: relevant
docs/architecture/*.sruja,repo.sruja, or ADRs that bound this work. Do not pick final edit lists yet unless obvious. - Use narrow reads (search + open specific files) or Sruja MCP (
.cursor/mcp.json) for architecture questions—avoid dumping entire crates into the transcript.- On connect: use
notifications/drift_stateor callsruja_get_drift_stateonce. - For “why did we…” / precedent:
sruja_search_memoryfirst. - Follow
.cursor/rules/sruja-context-host.mdcfor prune and memory.
- On connect: use
- List open questions for the user (max 5). Ask them one batch or one at a time depending on what blocks planning.
Do not write implementation code until the user confirms scope or points you at an agreed plan artifact.
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.
- 1mo ago First seen · 21 lines · 15 tokens per session scan A 0d88c6fec284
sruja-prime-task is a command published in the GitHub repository sruja-ai/sruja (24 stars, last pushed 6d ago), licensed Apache-2.0. It adds 15 tokens to every session and 330 once invoked, about $0.0001 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 2026-08-30.
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scaffold-component
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