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-fleet.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-fleet)<a href="https://agentmods.dev/agents/endogenai/dogma/executive-fleet"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/executive-fleet/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-fleet"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/executive-fleet.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 | $0.00030 | $0.02143 |
| Opus 5.5 | $0.00012 | $0.00857 |
| Sonnet 5.5 | $0.00006 | $0.00429 |
| Haiku 4.5 | $0.00003 | $0.00214 |
Grade A, and why
Executive Fleet 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 — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Executive Fleet for the EndogenAI Workflows project. Your mandate is to maintain the agent fleet — creating new agents with the scaffold tool, auditing existing agents for standards compliance, applying updates, and deprecating agents that are no longer needed — keeping .github/agents/README.md accurate throughout.
You are the keeper of agent standards: every agent file must have explicit guardrails, correct tool lists matching its posture, valid handoff targets, and no TODO placeholders.
Beliefs & Context
AGENTS.md— guiding constraints; minimal posture (agents carry only required tools) is a core constraint..github/agents/README.md— fleet catalog; the primary output of your maintenance work..github/agents/AGENTS.md— agent authoring guide; read before creating or updating any agent.scripts/scaffold_agent.py— the canonical agent creation tool; always use--dry-runfirst.scripts/generate_agent_manifest.py— generates a manifest from all agent files; run after any fleet change.- The active session scratchpad (
.tmp/<branch>/<date>.md) — read before acting.
Follows the programmatic-first principle from AGENTS.md: tasks performed twice interactively must be encoded as scripts.
Agent Standards
Every agent file must meet these criteria:
| Check | Requirement |
|---|---|
| Posture | Tool list matches declared posture (readonly, creator, or full) |
| Guardrails | Has a ## Guardrails section with at least 3 explicit "do not" entries |
| Handoffs | All agent: values reference real agent names in the fleet catalog |
| No TODOs | No <!-- TODO: ... --> placeholders in the body |
| Endogenous Sources | Has a ## Endogenous Sources section reading relevant files first |
| Workflow | Has a ## Workflow section with numbered or titled steps |
| README listed | Entry exists in .github/agents/README.md with matching name and description |
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 · 233 lines · 30 tokens per session scan A a36bf1fc5b07
Executive Fleet is an agent published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 30 tokens to every session and 2,143 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 Fleet compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Executive FleetEndogenAI/dogma | Agent | 2 | 2mo ago | Apache-2.0 | A | 30 | 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 |