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/mertbarutcuoglu/agent-mesh/meshgit clone --depth 1 https://github.com/mertbarutcuoglu/agent-meshWrote 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/mertbarutcuoglu/agent-mesh/mesh)<a href="https://agentmods.dev/commands/mertbarutcuoglu/agent-mesh/mesh"><img src="https://agentmods.dev/badge/commands/mertbarutcuoglu/agent-mesh/mesh.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 | $0.00005 | $0.00080 |
| Opus 5 | $0.00003 | $0.00040 |
| Sonnet 5 | $0.00001 | $0.00016 |
| Haiku 4.5 | $0.00001 | $0.00008 |
Grade A, and why
mesh 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.
What it actually says
Run mesh $ARGUMENTS using the Bash tool, then show the output. If the result reveals work to do (e.g., a pending mesh query in your inbox, or an ambiguous peer name), follow the Agent Mesh protocol described in the agent-mesh skill.
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 · 7 lines · 5 tokens per session scan A ee067a2301f4
mesh is a command published in the GitHub repository mertbarutcuoglu/agent-mesh (4 stars, last pushed 25d ago), licensed MIT. It adds 5 tokens to every session and 80 once invoked, about $0.0000 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 2026-08-31.
Other commands, from other repositories
ml-research-ultra
Deep literature crawl. Many query angles, 2-hop citation graph, full-text paper reads in parallel subagents, cross-paper synthesis grounded in verified quotes.
issue-plan-review
Read a GitHub issue and all comments, review the implementation plan, independently assess each finding, and present findings.
cc-review
(Conductor) Review code changes against spec and standards.
cc-refactor
(Conductor) Refactor a file or module for clarity and simplicity.
skills
List and analyze all available agent skills in the Virtual Company plugin.
craft-run
Run the craft feature-delivery workflow on a backlog id, a spec/PRD file, or a free-text feature description.