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Session guard

Skill wshobson/agents/plugins/skill-forge-essentials/skills/session-guard

Multi-harness agentic plugin marketplace for Claude Code, Codex CLI, Cursor, OpenCode, GitHub Copilot, and Gemini CLI

Install
npx -y skills add wshobson/agents --skill session-guard

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What its author says it does

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Use when working on complex multi-step tasks, when a session is getting long (40+ tool calls), when the agent starts ignoring rules it followed earlier, when conventions drift, when output quality seems to degrade, or after any context compaction event. Prevents long-session corruption AND context compaction amnesia through behavioral self-enforcement.

SKILL.md

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Session Guard

Overview

Long sessions corrupt silently. Context compaction drops instructions unannounced. Hooks don't fix it (confirmed by multiple developers on GitHub issues #19471, #9796, #64171). This skill prevents both through behavioral self-enforcement: monitor health, anchor critical rules through compaction, split before damage occurs. No packages, no databases - pure behavioral enforcement that works in every harness.

When to Use

  • Session exceeds 40 tool calls
  • Agent contradicts earlier decisions
  • Style/naming conventions start drifting
  • After any context compaction event
  • Task scope growing unbounded

Health Signals

SignalThresholdAction
Tool call count>40YELLOW: checkpoint + recite critical rules
Tool call count>60RED: split or compact with anchor
Agent contradicts earlier decisionAnyVERIFY: re-read source of truth
Style/naming driftAnyRECITE: state the active rules aloud
File read returns unexpected contentAnyRE-READ: don't trust cached state
Task scope growing unboundedContinuousSPLIT: one task per session

Protocol

Green Zone (0-40 tool calls)

Normal operation. No intervention needed.

Yellow Zone (40-60 tool calls)

  1. CHECKPOINT - summarize progress in one paragraph
  2. RECITE - state the 3-5 most critical active rules aloud: "Active rules: [naming convention], [file structure], [error handling pattern], [testing requirement]"
  3. ASSESS - almost done? Push through. Not done? Prepare split.
  4. REDUCE - no exploratory reads. Only targeted operations.

Red Zone (60+ tool calls OR drift signal)

  1. STOP - do not make more tool calls
  2. VERIFY - re-read project rules (don't trust memory)
  3. CHECKPOINT - write state to handoff document
  4. SPLIT - create handoff, suggest fresh session

Context Anchoring (anti-compaction)

When compaction has occurred (sudden loss of earlier context, or after /compact):

  1. RE-READ the project's rules file immediately
  2. RECITE the 3-5 critical rules aloud in your response
  3. VERIFY your planned next action matches those rules before executing
  4. If uncertain about ANY prior decision, RE-READ the source file - don't guess

What survives compaction:

  • Most recent user messages (high priority)
  • Currently-invoked skill body (capped at 5K tokens, oldest dropped first)
  • Git status and project structure
  • File contents read AFTER compaction

What gets LOST in compaction:

  • Decisions made early in conversation
  • Architectural rules stated only verbally (not in files)
  • Context from tool outputs (file reads, command outputs)

Compaction-Safe Pattern

Keep critical instructions in FILES (CLAUDE.md, CONTEXT.md), NOT in conversation. If a rule matters, it must live in a file the agent can re-read - not in something agreed on earlier.

Common Mistakes

  • Trusting that you remember the rules after 50+ tool calls (you don't - re-read)
  • Re-reading EVERYTHING to be safe (wastes tool calls - be targeted)
  • Feeling fine therefore assuming context is fine (compaction is SILENT)
  • Splitting AFTER noticing problems (split BEFORE - prevention, not recovery)

Why This Matters

Context compaction is the #1 unsolved platform problem in 2026. Hooks don't fix it (confirmed: the agent ignores post-compaction injections because the compaction summary creates narrative momentum). This skill is the lightweight behavioral countermeasure: no infrastructure, no packages - disciplined self-monitoring that works in every harness.

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