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 commands/echoingvesper/mcp-task-orchestrator/prime-coregit clone --depth 1 https://github.com/EchoingVesper/mcp-task-orchestratorWrote 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/echoingvesper/mcp-task-orchestrator/prime-core)<a href="https://agentmods.dev/commands/echoingvesper/mcp-task-orchestrator/prime-core"><img src="https://agentmods.dev/badge/commands/echoingvesper/mcp-task-orchestrator/prime-core.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 | $0.00000 | $0.00123 |
| Opus 5 | $0.00000 | $0.00062 |
| Sonnet 5 | $0.00000 | $0.00025 |
| Haiku 4.5 | $0.00000 | $0.00012 |
Grade A, and why
prime-core 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 4d 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.
This is a copy
86% identical to primer — 34 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Command for priming Claude Code with core knowledge about your project
Prime Context for Claude Code
Use the command tree to get an understanding of the project structure.
Start with reading the CLAUDE.md file if it exists to get an understanding of the project.
Read the README.md file to get an understanding of the project.
Read key files in the src/ directory
List any additional files that are important to understand the project.
Explain back to me:
- Project structure
- Project purpose and goals
- Key files and their purposes
- Any important dependencies
- Any important configuration files
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.
- 4d ago First seen · 20 lines · 0 tokens per session scan A 0eac8022d73c
prime-core is a command published in the GitHub repository EchoingVesper/mcp-task-orchestrator (28 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 123 tokens. A static security scan graded it A with 0 findings. It is 86% identical to primer, differing in 34 lines, and is treated as a copy.
Other commands, from other repositories
proyecto
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handover
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instinct-status
Shows learned instincts from dqiii8.db, grouped by project and confidence. Internal diagnostic tool — not for user invocation.
test-team
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checkpoint
Works for you. Go outside and live. — AI orchestrator that auto-routes tasks to the cheapest model that solves them. 70% run free on local models. Self-auditing, self-improving, zero prompting skill needed. Built with vibe coding by a finance student. Your models, your data.
weekly-review
Works for you. Go outside and live. — AI orchestrator that auto-routes tasks to the cheapest model that solves them. 70% run free on local models. Self-auditing, self-improving, zero prompting skill needed. Built with vibe coding by a finance student. Your models, your data.