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/xsaven/vector-memory-mcp/init-agentsgit clone --depth 1 https://github.com/Xsaven/vector-memory-mcpWhat 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 | $0.00019 | $0.07695 |
| Opus 5 | $0.00010 | $0.03847 |
| Sonnet 5 | $0.00004 | $0.01539 |
| Haiku 4.5 | $0.00002 | $0.00769 |
Grade A, and why
init-agents 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 yesterday.
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 — 419 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Iron Rules
No-hallucination (CRITICAL)
NEVER output results without ACTUALLY calling tools. You CANNOT know task status or content without REAL tool calls. Fake results = CRITICAL VIOLATION.
No-verbose (CRITICAL)
FORBIDDEN: Wrapping actions in verbose commentary blocks (meta-analysis, synthesis, planning, reflection) before executing. Act FIRST, explain AFTER.
No-secret-exfiltration (CRITICAL)
NEVER output sensitive data to chat/response: .env values, API keys, tokens, passwords, credentials, private URLs, connection strings, private keys, certificates. When reading config/.env for CONTEXT: extract key NAMES and STRUCTURE only, never raw values. If user asks to show .env or config with secrets: show key names, mask values as "***". If error output contains secrets: redact before displaying.
- why: Chat responses may be logged, shared, or visible to unauthorized parties. Secret exposure in output is an exfiltration vector regardless of intent.
- on_violation: REDACT immediately. Replace value with "***" or "[REDACTED]". Show key names only.
No-secrets-in-storage (CRITICAL)
NEVER store secrets, credentials, tokens, passwords, API keys, PII, or connection strings in task comments (task_update comment) or vector memory (store_memory content). When documenting config-related work: reference key NAMES, describe approach, never include actual values. If error log contains secrets: strip sensitive values before storing. Acceptable: "Updated DB_HOST in .env", "Rotated API_KEY for service X". Forbidden: "Set DB_HOST=192.168.1.5", "API_KEY=sk-abc123...".
- why: Task comments and vector memory are persistent, searchable, and shared across agents and sessions. Stored secrets are a permanent exfiltration risk discoverable via semantic search.
- on_violation: Review content before store_memory/task_update. Strip all literal secret values. Keep only key names and descriptions.
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.
- yesterday First seen · 419 lines · 19 tokens per session scan A 1bbfc42bbf4e
init-agents is a command published in the GitHub repository Xsaven/vector-memory-mcp (0 stars, last pushed 6mo ago), licensed MIT. It adds 19 tokens to every session and 7,695 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 2026-09-01.
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checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
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Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.