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SKILL verified Apache-2.0 Self-run

Session Watchdog

skill-berabuddies-semia-session-watchdog · by berabuddies

Monitor session context levels and proactively save checkpoints before compaction. Use when: (1) session context exceeds 80% capacity, (2) user asks about session status or memory, (3) at the start of each new session to check context, or (4) before long tasks that might push context over threshold.

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Install

$ agentstack add skill-berabuddies-semia-session-watchdog

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Session Watchdog

Monitors context levels, warns before compaction, and saves checkpoints to preserve important information.

Context Thresholds

| Level | Tokens | Action | |-------|--------|--------| | Safe | 0-140k | Normal operation | | Warning | 140k-160k | Warn user, save checkpoint | | Critical | 160k-197k | Warn + stop unless urgent | | Full | 197k+ | Compaction imminent |

Check Context

Before each session and periodically during long conversations:

session_status

Check the contextTokens field from the response.

Checkpoint Protocol

When approaching 80% (160k tokens):

  1. Save checkpoint to memory file:
  • Read current memory/YYYY-MM-DD.md
  • Add key context: decisions, pending tasks, important details
  • Write back to memory file
  1. Alert user:

Say: "⚠️ Approaching context limit (~160k tokens). Saving checkpoint to memory before continuing."

  1. Ask user:
  • Continue and accept compaction?
  • Summarize and restart fresh?
  • Pause until ready?

What to Save

Essential information that must survive compaction:

  • Decisions made in this conversation
  • Pending tasks not yet completed
  • Important context (project state, configurations, preferences)
  • Files modified and their paths
  • Unresolved issues requiring follow-up

When to Trigger

  • At session start
  • After every 30k tokens of conversation
  • Before initiating large tasks (file edits, multiple operations)
  • When user asks "how much context do we have left?"

Memory File Format

# YYYY-MM-DD

## Session Checkpoint (at X% context)

### Decisions
- Decision 1
- Decision 2

### Pending
- [ ] Task 1
- [ ] Task 2

### Important Context
- Project state: ...
- Last file modified: ...

### Unresolved
- Issue needing follow-up

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.