Universal guardrails loaded by every agent. Defines Verify Before Reporting (VBR), Write-Ahead Log (WAL), and the security baseline. Always-on, role-independent.
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Token budgeting discipline for all agents. Treats tokens as a resource from session start — not just when the buffer hits 60%. Covers prompt compression, context hygiene, handoff packing, and HOT memory pruning.
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See how to installReview the instructions the agent will receive before you install.
Tokens are a resource. Treat them as a budget from the first message, not a crisis to manage when the buffer alarm fires.
Inspired by the Caveman token compression philosophy (MIT License): tighter semantic frames improve both cost and model reasoning quality. The working buffer protocol in proactive-agent is the crisis backstop — this skill is the upstream discipline that delays or avoids that crisis.
Before every response, ask: is this response as compact as it can be while still being useful?
agent-foundations): an optional codebase-intelligence lens skill for source-code queries, and — on dev/dev:graph tiers only, if pipelines/deploy/lib/memory-index.js is present — npm run memory-index -- find <keyword> for cross-entry memory lookups.When writing to the working buffer or memory/<agent>.md (or the active storage plugin's memory store on vault-backed tiers — see the storage-plugin note below):
grep, it doesn't need to be in HOT.When handing off between agents or sessions:
memory/<agent>.md HOT section (or the active storage plugin's memory store on vault-backed tiers — see the storage-plugin note below) and stop. The next session reads memory, not chat history.Aggressively retire HOT items:
When invoking a subagent or spawning a task:
Storage-plugin note (memory/<agent>.md references above, in Working Buffer Compression and Handoff Packing): before writing to memory/<agent>.md, check for an active storage plugin file at skills/agent-foundations/storage/*.md — the same presence-gated check agent-foundations's Memory Path Resolution protocol uses. If no plugin file is present, the literal memory/<agent>.md path is correct as-is (free-tier default). If a plugin file is present (vault-backed hub type, e.g. dev:sub/ops), the literal repo-relative path is wrong — write instead via that plugin's write-memory-entry(agent, tier, content) operation (see agent-foundations's Memory Path Resolution protocol and the active plugin file, e.g. storage/obsidian.md, for the authoritative procedure). Writing to the literal path on a vault-backed tier creates a stray file outside the vault, bypassing the knowledge index.
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Universal guardrails loaded by every agent. Defines Verify Before Reporting (VBR), Write-Ahead Log (WAL), and the security baseline. Always-on, role-independent.
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Use when: architecture mode, architect this, ADR, C4, PlantUML, system boundary, design decision, PRD gap, high ambiguity, multiple technical approaches, security architecture, data architecture, integration risk, implementability gap, story ticket, or epic ticket.
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Use when: assumptions audit, audit assumptions, check for hidden assumptions, plan/ticket has ambiguous scope edges, pre-flight before finalizing a ticket, unstated assumptions, or 'what am I assuming'. Surfaces unstated assumptions, ambiguous scope edges, and untested preconditions in a finished plan/ticket/ADR before it is handed to Builder. Optional pass — Architect judges when to apply it; not a mandatory gate on every ticket.
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Use when: Tester needs UI state evidence for VBR, or Builder needs to verify an integration wire is observable end-to-end. Powered by agent-browser MCP — token-efficient browser automation (200–400 tokens/page).
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Use when drafting a bug or defect ticket, reviewing one someone else wrote, or deciding whether a reported problem is ready to file. Keeps what the reporter actually saw separate from what the agent later found out, so a reader can tell which lines are testimony and which are collected proof. Trigger phrases: 'file a bug', 'write up this defect', 'triage this report', 'is this ticket ready to file', 'what did the reporter actually see'.
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Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch.
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