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 myelixlabs/synapse-mcp --skill onboardgit clone --depth 1 https://github.com/myelixlabs/synapse-mcpWrote 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/myelixlabs/synapse-mcp/onboard)<a href="https://agentmods.dev/skills/myelixlabs/synapse-mcp/onboard"><img src="https://agentmods.dev/badge/skills/myelixlabs/synapse-mcp/onboard/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/myelixlabs/synapse-mcp/onboard"><img src="https://agentmods.dev/badge/skills/myelixlabs/synapse-mcp/onboard.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 | $0.00041 | $0.00210 |
| Opus 5.5 | $0.00016 | $0.00084 |
| Sonnet 5.5 | $0.00008 | $0.00042 |
| Haiku 4.5 | $0.00004 | $0.00021 |
Grade A, and why
onboard scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Onboard to a codebase
- Find the
repo_idfor the current project withsynapse_manage_repos(actionlist), matching on the project directory. If the project is not registered, stop and suggest/synapse-mcp:index. - Call
synapse_get_contextwith actiononboardand thatrepo_id. If the user named an area or path ($ARGUMENTS), pass it as the focus. - Present the result as a short reading order: where to start, the main entry points, the modules that matter most and how they connect. Link each item to its file.
Keep it to what someone needs on their first day. Offer to go deeper on any item.
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.
- 7d ago First seen · 14 lines · 41 tokens per session scan A 88c3614f34d9
onboard is a skill published in the GitHub repository myelixlabs/synapse-mcp (3 stars, last pushed 6d ago), licensed MIT. It adds 41 tokens to every session and 210 once invoked, about $0.0002 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 2026-09-30.
Other skills, from other repositories
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memstack-development-mentor
Use when the user says 'teach me', 'explain as you go', 'mentor mode', 'walk me through', 'help me learn', 'explain why', 'learning mode', or wants real-time plain language narration of decisions and tradeoffs while building. Do NOT use for code review or debugging.
trace-mcp-codemod
Use trace-mcp applycodemod for any bulk mechanical change instead of repeated Edit calls. Activate whenever the same edit pattern would be applied 2+ times, across one file or many.
trace-mcp-refactoring
Safe refactoring workflow using trace-mcp — assess risk, find candidates, check impact, and rename symbols across all files without missing import sites or cross-file references.
trace-mcp-pre-commit
Run trace-mcp security, quality-gate, and antipattern checks before committing or opening a PR. Activate when the agent is about to create a commit or pull request in a project indexed by trace-mcp.
factory-learn
Use when coordinating continuous improvement loops (team-levelup + change + evals feedback + cleanup) targeting team-ai-directives — includes build-to-delete pruning and promote-to-check.