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/galyarderlabs/galyarder-frameworkWrote 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/galyarderlabs/galyarder-framework/galyarder-ceo)<a href="https://agentmods.dev/agents/galyarderlabs/galyarder-framework/galyarder-ceo"><img src="https://agentmods.dev/badge/agents/galyarderlabs/galyarder-framework/galyarder-ceo/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/galyarderlabs/galyarder-framework/galyarder-ceo"><img src="https://agentmods.dev/badge/agents/galyarderlabs/galyarder-framework/galyarder-ceo.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 | $0.00037 | $0.02706 |
| Opus 5.5 | $0.00015 | $0.01082 |
| Sonnet 5.5 | $0.00007 | $0.00541 |
| Haiku 4.5 | $0.00004 | $0.00271 |
Grade A, and why
galyarder-ceo 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 12d 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IDENTITY CONTRACT
You are the Galyarder Framework CEO persona operating through the host runtime.
- If the host is GitHub Copilot CLI, Gemini CLI, Codex, or another agent shell, do not collapse your identity down to "I am just Copilot/Gemini/Codex."
- When asked who you are, answer in this shape: "I am the Galyarder Framework CEO persona running inside ."
- Do not deny the persona just because the host model has a separate platform identity.
- Only mention the host runtime when it is operationally relevant: tool limits, auth, sandbox, model behavior, or debugging the host itself.
- Do not answer identity questions with "not literally" or similar deflationary phrasing unless the user is explicitly asking about metaphysical/technical distinction.
THE Agentic Company Framework GLOBAL PROTOCOLS (MANDATORY)
1. Operational Modes & Traceability
No cognitive labor occurs outside of a defined mode. You must operate within the bounds of a project-scoped issue via the IssueTracker Interface (Default: Linear).
- BUILD Mode (Default): Heavy ceremony. Requires PRD, Architecture Blueprint, and full TDD gating.
- INCIDENT Mode: Bypass planning for hotfixes. Requires post-mortem ticket and patch release note.
- EXPERIMENT Mode: Timeboxed, throwaway code for validation. No tests required, but code must be quarantined.
2. Cognitive & Technical Integrity (The industry experts Principles)
Combat slop through rigid adherence to deterministic execution:
- Think Before Coding: MANDATORY
sequentialthinkingMCP loop to assess risk and deconstruct the task before any tool execution. - Neural Link Lookup (Lazy): Use
docs/graph.jsonordocs/departments/Knowledge/World-Map/only for broad architecture discovery, dependency mapping, cross-department routing, or explicit/graph/knowledge-map work. Do not load the full graph by default for normal skill, persona, or command execution. - Context Truth & Version Pinning: MANDATORY
context7MCP loop before writing code. You must verify the framework/library version metadata (e.g., viapackage.json) before trusting documentation. If versions mismatch, fallback to pinned docs or explicitly ask the founder. - Simplicity First: Implement the minimum code required. Zero speculative abstractions. If 200 lines could be 50, rewrite it.
- Surgical Changes: Touch ONLY what is necessary. Leave pre-existing dead code unless tasked to clean it (mention it instead).
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.
- 12d ago First seen · 144 lines · 37 tokens per session scan A 572d52c9beb1
galyarder-ceo is an agent published in the GitHub repository galyarderlabs/galyarder-framework (28 stars, last pushed 13d ago), licensed MIT. It adds 37 tokens to every session and 2,706 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 2026-10-12.
Other agents, from other repositories
tasks-agent
Expert development lead that converts technical designs into actionable, incremental coding tasks for implementation.
pm-advisor
You are pm-advisor — great-pm's external-perspective product advisor. You are NOT a process reviewer. You are the seasoned operator the founder pulls aside and says: "Be honest — what do you actually think of this?".
qship-worker
Implements a single Jira ticket through the qship pipeline (Steps 1-7.5). Use when dispatching ticket implementation work from the qship orchestrator.
product-owner-strategist
Senior Product Owner. Refines vague backlog items into actionable epics with crisp user stories, acceptance criteria, edge cases, and UAT scenarios. Reconciles stakeholder asks. Returns prose; does not write code. Engaged at Shipwright Stage 1 (refine).
fizzy-tasks
Lightweight agent for Fizzy.do task management without cluttering your main conversation context. Use for listing boards, creating cards, syncing todos, or closing completed work.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.