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 skills add RagavRida/agentsmcp --skill claude-codegit clone --depth 1 https://github.com/RagavRida/agentsmcpWrote 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/skills/ragavrida/agentsmcp/claude-code)<a href="https://agentmods.dev/skills/ragavrida/agentsmcp/claude-code"><img src="https://agentmods.dev/badge/skills/ragavrida/agentsmcp/claude-code/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/skills/ragavrida/agentsmcp/claude-code"><img src="https://agentmods.dev/badge/skills/ragavrida/agentsmcp/claude-code.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 | $0.00070 | $0.00813 |
| Opus 5.5 | $0.00028 | $0.00325 |
| Sonnet 5.5 | $0.00014 | $0.00163 |
| Haiku 4.5 | $0.00007 | $0.00081 |
Grade A, and why
agentmailbox-claude-code 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 1mo 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AgentMailbox — Context Sync for Claude Code
Your context follows you across terminal sessions and tools.
AgentMailbox gives Claude Code persistent memory across sessions. Combined
with CLAUDE.md for static project context, AgentMailbox provides dynamic,
evolving context that tracks decisions, progress, and open questions across
every session and every tool.
Setup
1. Add MCP to Claude Code
Add to your Claude Code MCP settings:
{
"mcpServers": {
"agentsmcp": {
"command": "npx",
"args": ["-y", "agentsmcp-adapter"],
"env": {
"AGENTSMCP_AGENT_ID": "claude-code@local",
"AGENTSMCP_SERVER": "http://localhost:3000"
}
}
}
}
2. Start the Server
npx agentsmcp-server
# Runs at http://localhost:3000
Or use the demo server:
AGENTSMCP_SERVER=https://hdnxa5c8yr.us-east-1.awsapprunner.com
How It Works with CLAUDE.md
| Layer | Purpose | Persistence |
|---|---|---|
| CLAUDE.md | Static project context (coding standards, architecture, conventions) | File-based, manual |
| AgentMailbox | Dynamic session context (decisions, progress, open questions, handoffs) | Server-backed, automatic |
Use both together:
CLAUDE.mdfor what the project is- AgentMailbox for what happened and what's next
Workflows
Session Start
Tool: agentsmcp_receive
Check for context from previous sessions or messages from other agents/tools.
After Terminal Work
Record what you accomplished:
Tool: agentsmcp_send
Arguments:
to: "claude-code@local"
body: {
"session": "Terminal session summary",
"commands": ["npm test — all passing", "npm run build — clean"],
"decisions": ["Migrated to ESM modules"],
"filesChanged": ["package.json", "tsconfig.json", "src/index.ts"],
"remainingTasks": ["Update CI config for ESM"]
}
Handoff to GUI Tools
When the user wants to continue in Cursor or Claude Desktop:
Tool: agentsmcp_send
Arguments:
to: "cursor@local"
body: {
"handoff": "ESM migration 80% complete",
"remainingWork": "Update CI pipeline, fix 2 failing integration tests",
"context": "See thread for full migration log"
}
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.
- 1mo ago First seen · 121 lines · 70 tokens per session scan A 4179fc7bec3b
agentmailbox-claude-code is a skill published in the GitHub repository RagavRida/agentsmcp (1 stars, last pushed 3mo ago), licensed MIT. It adds 70 tokens to every session and 813 once invoked, about $0.0003 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.
Other skills, from other repositories
wiki-ingest
Use when an operation issue asks to ingest a captured raw/ source into the LLM Wiki, or the user says "ingest ". Create durable source, entity, concept, synthesis, index, and log pages; use paperclip-distill for Paperclip bundles.
wiki-lint
Use when an LLM Wiki operation issue is a lint or health check. Audit for contradictions, orphans, weak provenance, broken links, missing concept pages, and index/log drift; return triage findings without auto-fixing.
claude-compaction-restore
Use when a Claude Code session is about to compact, has just compacted, reached its context limit, resumed after /compact, or must rebuild its working picture of a long-running seat from its own restore map, its JSONL transcript and the files it touched.
retiring-and-inheriting-a-seat
Use when you are a sitting agent near your context threshold (85%) and a PLANNED seat transition is due — retire deliberately and hand your seat to a fresh successor primed from a packet, rather than let compaction degrade you. Covers the handover packet, the append-only lineage ledger (one row per tenure)…
cao-learning
Report task outcomes and distill lessons so the team improves across runs — reportoutcome after each unit of work, retrospector handoffs at natural boundaries, and applying injected lessons. Use in workflows that run repeatedly over similar work items. Requires memory.learningenabled; degrade silently when the tools…
memory
Persist and retrieve agent memory across sessions — recall via the three-stage protocol (structure route → semantic search → navigation fallback), read via memoryload, see the wiki structure via memorybrowse, write well-placed pages via memorywrite (including section-level append/rewrite), maintain via memorycurate.…