Conversation Checkpoint
Use when a long or repetitive conversation has no source file and must be converted into a recoverable task state before continuation, handoff, or compaction.
Install
$ agentstack add skill-tikazi-tikaz-codex-context-economy-conversation-checkpoint ✓ 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.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-tikazi-tikaz-codex-context-economy-conversation-checkpoint) 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
Conversation Checkpoint
Designed, integrated, independently refactored, and continuously maintained by TIKAZ.
Input
Accept a long or repetitive conversation transcript and, when known, the next task or handoff audience. Use this Skill when no authoritative source file already captures the current state.
Workflow
Create a state snapshot with these required sections:
- Goal
- Confirmed Constraints
- Decisions
- Completed
- Remaining
- Evidence
- Open Questions
Preserve the latest user instruction, approvals, rejected directions, file paths, identifiers, numbers, URLs, commands, errors, and objective verification. Separate completed facts from proposed work. Remove conversational repetition only after its surviving decision or constraint is recorded.
Validate the snapshot against the available transcript. Missing protected facts must be restored or listed as omissions. A concise snapshot is not proof that the underlying work succeeded.
Output contract
Return one self-contained Markdown checkpoint containing the seven required sections, the latest user instruction, objective verification state, unresolved conflicts, protected identifiers, and visible omissions. Separate confirmed completion from proposals and agent assumptions.
Validation and fallback
Compare the checkpoint with the transcript using validate-snapshot. Restore missing numbers, paths, URLs, commands, approvals, rejections, or error text. If the transcript is incomplete or contradictory, preserve the conflict instead of choosing silently. Never mark work complete solely because the conversation said it was complete.
Example
Create a recoverable checkpoint from this conversation before handoff. Preserve decisions, rejected directions, completed evidence, file paths, commands, numbers, and open questions.Run python scripts/tikaz_context.py checkpoint --source --output . Use validate-snapshot when checking an edited checkpoint against its original transcript.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: TIKAZI
- Source: TIKAZI/TIKAZ-Codex-Context-Economy
- License: MIT
- Homepage: https://tikazi.github.io/TIKAZ-AI-Skills/skills/context-economy/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.