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 aeriondyseti/vector-memory-mcp --skill waypoint-setgit clone --depth 1 https://github.com/aeriondyseti/vector-memory-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/aeriondyseti/vector-memory-mcp/waypoint-set)<a href="https://agentmods.dev/skills/aeriondyseti/vector-memory-mcp/waypoint-set"><img src="https://agentmods.dev/badge/skills/aeriondyseti/vector-memory-mcp/waypoint-set/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/aeriondyseti/vector-memory-mcp/waypoint-set"><img src="https://agentmods.dev/badge/skills/aeriondyseti/vector-memory-mcp/waypoint-set.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 | $0.00014 | $0.00446 |
| Opus 5 | $0.00007 | $0.00223 |
| Sonnet 5 | $0.00003 | $0.00089 |
| Haiku 4.5 | $0.00001 | $0.00045 |
Grade A, and why
waypoint:set 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 9d 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
Create a comprehensive waypoint snapshot using vector-memory.
1. Extract & Store Memories
Review the session for significant items worth persisting long-term.
Extract:
- Architectural decisions and rationale
- Implementation patterns discovered or established
- Insights about the codebase structure
- Blockers encountered and their resolutions
- Context that would be valuable for future sessions
Skip:
- Pleasantries and conversational filler
- Ephemeral states (e.g., "currently running tests")
- Information already stored in previous memories
For each significant item, call mcp__vector-memory__store_memories with appropriate metadata tags.
2. Set Waypoint
Call mcp__vector-memory__set_waypoint with:
project: [repository/project name]
branch: [current git branch]
summary: [2-3 sentences: what was the primary goal, what's the current status]
completed:
- [specific items with file paths where relevant]
- [e.g., "Implemented user auth in server/auth/login.ts"]
in_progress_blocked:
- [items still in flight with current state]
- [blockers with context on what's needed]
key_decisions:
- [decisions made and WHY - rationale is crucial]
- [e.g., "Chose JWT over sessions because X, Y, Z"]
next_steps:
- [concrete, actionable items]
- [prioritized if possible]
memory_ids:
- [IDs returned from store_memories calls above]
3. Report to User
Summarize what was stored:
- Number of memories created
- Key topics captured
- Waypoint stored confirmation
Guidelines
- Be thorough but concise - capture context that would take time to reconstruct
- Include file paths - makes resumption faster
- Explain decisions - future-you won't remember why
- Link memories - use memory_ids to connect related context
- Skip the obvious - don't store things easily discoverable from code
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.
- 9d ago First seen · 71 lines · 14 tokens per session scan A 8915139d77ca
waypoint:set is a skill published in the GitHub repository aeriondyseti/vector-memory-mcp (5 stars, last pushed 2mo ago), licensed MIT. It adds 14 tokens to every session and 446 once invoked, about $0.0001 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 2026-08-30.
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