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 skills/groupzer0/vs-code-agents/memory-contractnpx skills add groupzer0/vs-code-agents --skill memory-contractgit clone --depth 1 https://github.com/groupzer0/vs-code-agentsWhat 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 | $0.00036 | $0.01334 |
| Opus 5 | $0.00018 | $0.00667 |
| Sonnet 5 | $0.00007 | $0.00267 |
| Haiku 4.5 | $0.00004 | $0.00133 |
Grade A, and why
memory-contract 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 2d 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 — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Unified Memory Contract
Using Flowbaby tools (flowbabyStoreSummary and flowbabyRetrieveMemory) is mandatory.
Core Principle
Memory is not a formality—it is part of your reasoning. Treat retrieval like asking a colleague who has perfect recall of this workspace. Treat storage like leaving a note for your future self who has total amnesia.
The cost/benefit rule: Retrieval is cheap (sub-second, a few hundred tokens). Proceeding without context when it exists is expensive (wrong answers, repeated mistakes, user frustration). When in doubt, retrieve.
When to Retrieve
Retrieve at decision points, not just at turn start. In a typical multi-step task, expect 2–5 retrievals.
Retrieve when you:
- Are about to make an assumption → check if it was already decided
- Don't recognize a term, file, or pattern → check if it was discussed
- Are choosing between options → check if one was tried or rejected
- Feel uncertain ("I think...", "Probably...") → that's a retrieval signal
- Are about to do work → check if similar work already exists
- Hit a constraint or error you don't understand → check for prior context
If no results: Broaden to concept-level and retry once. If still empty, proceed and note the gap.
How to Query
Queries should be specific and hypothesis-driven, not vague or encyclopedic.
| ❌ Weak query | ✅ Strong query |
|---|---|
| "What do I know about this project?" | "Previous decisions about authentication strategy in this repo" |
| "Any relevant memory?" | "Did we try Redis for caching? What happened?" |
| "User preferences" | "User's stated preferences for error handling verbosity" |
| "Past work" | "Implementation status of webhook retry logic" |
Heuristic: State the question you're trying to answer, not the category of information you want.
When to Store
Store at value boundaries—when you've created something worth preserving. Ask: "Would I be frustrated to lose this context?"
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.
- 2d ago First seen · 148 lines · 36 tokens per session scan A 536469c6c3c3
memory-contract is a skill published in the GitHub repository groupzer0/vs-code-agents (284 stars, last pushed 7mo ago), licensed MIT. It adds 36 tokens to every session and 1,334 once invoked, about $0.0002 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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