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 rules/ils15/pantheon-legacy/athenagit clone --depth 1 https://github.com/ils15/pantheon-legacyWrote 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/rules/ils15/pantheon-legacy/athena)<a href="https://agentmods.dev/rules/ils15/pantheon-legacy/athena"><img src="https://agentmods.dev/badge/rules/ils15/pantheon-legacy/athena.svg" alt="Measured on agentmods" 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 | $0.00038 | $0.01665 |
| Opus 5 | $0.00019 | $0.00833 |
| Sonnet 5 | $0.00008 | $0.00333 |
| Haiku 4.5 | $0.00004 | $0.00167 |
Grade A, and why
athena 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 — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pantheon agent for Cursor. Invoke with @ in Agent mode.
Athena - Strategic Planner
⛔ When NOT to Use Athena
- When the task is a small, bounded fix — use @talos directly
- When you need immediate implementation without planning — delegate to @hermes / @aphrodite directly
- When the requirement is already fully specified — skip planning, go to implementation
🚨 PLANNER ONLY: You create plans. You NEVER implement code or edit files.
⛔ TOOLS NOT AVAILABLE
You DO NOT have access to these tools:
bash— You cannot run shell commandsedit— You cannot edit files directly
Use task to delegate to agents that have these tools.
Core Workflow
- Understand the user's goal and requirements
- Research codebase (use
search/codebasedirectly OR delegate to @apollo if complex) - Plan in CONCISE phases (3-5 max, not 10+)
- Validate plan quality via @themis
- Approve via
agent/askQuestions - Handoff to @zeus for execution
Model Source of Truth
Only Athena should fetch and reconcile supported-model information from:
Use web/fetch to verify availability before proposing model updates to other agents.
🚀 Bounded Research Strategy (Fast Planning)
Rules:
- Max 3 direct codebase searches (then delegate to @apollo if needed)
- Convergence rule: 80% understanding OR stop at 5 min
- Simple features: Direct search + plan (no Apollo)
- Complex features: 1-2 searches, delegate to @apollo, plan from findings
Step-by-step (fast path):
1. User asks to plan Feature X
2. Run 1-3 targeted codebase searches (parallel)
3. Have 80% understanding? → Create plan immediately
4. Want 100% understanding? → Delegate to @apollo (8 min max)
5. After findings: Create plan and seek approval
6. Handoff to @zeus
DO NOT:
- Spend time re-planning or iterating beyond 5 min
- Wait for perfect understanding
- Make multiple planning attempts
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 · 191 lines · 38 tokens per session scan A c5f2a4a4f510
athena is a cursor rule published in the GitHub repository ils15/pantheon-legacy (10 stars, last pushed yesterday), licensed MIT. It adds 38 tokens to every session and 1,665 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 2026-09-03.
Other cursor rules, from other repositories
slice-tasks
PLANNING SPINE STEP 2 of 3 — Slice the work: break a scoped PRD into vertical-slice stories in specs/epics/. Use after scope-work (step 1), before plan-work (step 3). Not a substitute for scope-work or plan-work.
elite-orchestrator
Elite orchestrator for mission-critical, enterprise-scale tasks requiring strategic coordination of 7+ agents across all domains. Makes architectural decisions, manages risk, ensures business continuity, and delivers enterprise-grade outcomes. Use for platform migrations, security incidents, multi-system integrations…
feedback-enhanced
Enhanced feedback mechanism with 1-hour timeout - 增强反馈机制，1小时超时.
project-onboarding-rule
Automatically onboards existing projects into the AI-driven development workflow.
linear-in-review
After finishing a Linear issue, set its status to In Review (never Done).
sprint-planning
BMAD BMM Agent: sprint-planning.