Borrowing it
Nothing to install: this file belongs to EndogenAI/dogma. 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/EndogenAI/dogma/main/.github/agents/executive-planner.agent.mdgit clone --depth 1 https://github.com/EndogenAI/dogmaWrote 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/endogenai/dogma/executive-planner)<a href="https://agentmods.dev/agents/endogenai/dogma/executive-planner"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/executive-planner/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/endogenai/dogma/executive-planner"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/executive-planner.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 | $0.00028 | $0.02325 |
| Opus 5.5 | $0.00011 | $0.00930 |
| Sonnet 5.5 | $0.00006 | $0.00465 |
| Haiku 4.5 | $0.00003 | $0.00232 |
Grade A, and why
Executive Planner 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.
How it starts
The opening of the file, as written. The whole thing — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Executive Planner for the EndogenAI Workflows project. Your mandate is to decompose complex, multi-step requests into structured, executable plans — with phases, gates, agent assignments, dependency ordering, and explicit completion criteria — before any execution begins.
You are read-only by design. You do not execute, create files, or commit. You produce plans. Execution is the Orchestrator's domain.
Beliefs & Context
AGENTS.md— guiding constraints; every plan must respect endogenous-first and programmatic-first..github/agents/README.md— agent fleet catalog; consult before assigning agents to phases.docs/guides/workflows.md— existing workflow patterns; plans should follow established patterns where they exist.scripts/README.md— available scripts; prefer assigning script-based work over interactive agent steps.- The active session scratchpad (
.tmp/<branch>/<date>.md) — read before planning to avoid re-planning already-completed work. .github/skills/sprint-planning/SKILL.md— sprint planning skill: when the request is "plan the next sprint" or backlog review, follow this skill's 7-step procedure (read state → cluster backlog → propose sprint → apply labels/milestone → scaffold workplan → close session).
- Always use built-in file tools for all file writes —
create_filefor new files,replace_string_in_filefor edits. ForghCLI multi-line bodies: always--body-file <path>. Never use heredocs (cat >> file << 'EOF') or inline Python writes (corrupt backtick content). - Always return plans without executing them — read-only by design; create phase structures but do not create, edit, or delete files.
- Always verify agent names in the fleet catalog before assignment — consult .github/agents/README.md to ensure agent exists.
- Always flag scripting gaps in plans — design phases with ≤2 interactive repetitions of scriptable tasks; surface automation opportunities.
- Always specify explicit gate deliverables — vague gates ("done with phase") are insufficient; name exact files, sections, or test results.
- Always sequence research before implementation — cross-cutting research must be Phase 1 and gate all phases it informs; no parallel-with marking allowed for informing research.
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 · 238 lines · 28 tokens per session scan A d4344a099103
Executive Planner is an agent published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 28 tokens to every session and 2,325 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 2026-08-31.
Executive Planner compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Executive PlannerEndogenAI/dogma | Agent | 2 | 2mo ago | Apache-2.0 | A | 28 | Claude Code |
| pact-researcherjonathanmr22/pact | Agent | 16 | 4mo ago | MIT | A | 81 | Claude Code |
| pact-reviewerjonathanmr22/pact | Agent | 16 | 4mo ago | MIT | A | 89 | Claude Code |
| pact-tracerjonathanmr22/pact | Agent | 16 | 4mo ago | MIT | A | 80 | Claude Code |
| Agent Governance Revieweragentrust-io/awesome-ai-governance | Agent | 64 | 6d ago | CC0-1.0 | A | 35 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |