Install
$ agentstack add skill-berabuddies-semia-session-watchdog ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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):
- 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
- Alert user:
Say: "⚠️ Approaching context limit (~160k tokens). Saving checkpoint to memory before continuing."
- 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.
- Author: berabuddies
- Source: berabuddies/Semia
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.