Install
$ agentstack add skill-psenger-ai-agent-skills-handoff ✓ 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
Handoff
Saves or loads a structured JSON snapshot of session state. Use the schema in references/schema.md for all fields.
Mode Selection
- User wants to save / pause / context is full → CREATE workflow
- User wants to resume / load / continue → RESUME workflow
- After 5+ file edits or a major decision → suggest: "We've made good progress — say 'create handoff' when you're ready to save state and start fresh."
CREATE Workflow
Step 1 — Determine Output File
Use the user's argument if provided (e.g. /handoff auth-work.json). Otherwise default to .claude/handoffs/YYYY-MM-DD-HHMMSS-.json in the project root, where ` is 2–4 words from the task goal (e.g. auth-refactor, payment-api). Create .claude/handoffs/` if it doesn't exist.
Step 2 — Analyse the Session
Review the full conversation and all modified files, then extract:
- The primary goal and what "done" looks like (acceptance criteria)
- All architectural and design decisions reached, with rationale
- What has been completed and can be verified
- What still needs to be done, in priority order
- Hard constraints and non-negotiables
- Known bugs, issues, or unresolved warnings
- Which files were changed and what was done to each
Step 3 — Write the Handoff File
Write the JSON using the schema in references/schema.md. Do not omit any top-level field — use [] if there is nothing to report.
Step 4 — Confirm and Guide the User
Handoff written to:
Summary:
- Task:
- Completed: steps
- Pending: steps
- Constraints:
- Open issues:
- Modified files:
Next steps:
1. Run /clear to wipe the context window
2. Start a new session
3. Paste this prompt to resume:
""
> Do not run /clear yourself — the user must do this manually.
RESUME Workflow
Step 1 — Locate the File
Use the user's argument if given. Otherwise read .claude/handoffs/ and pick the most recent file by filename timestamp. If the directory is empty or missing, tell the user.
Step 2 — Load and Orient
Read the file fully. Then report:
Loaded handoff:
- Task:
- Completed: steps
- Pending: steps
- First step:
- Open issues:
- Constraints:
Step 3 — Begin Work
Start immediately with pending_steps[0]. Keep constraints, discovered_issues, and decisions visible as you work — don't re-litigate choices already made.
Reference Files
references/schema.md— full JSON schema, field rules, and a complete example
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: psenger
- Source: psenger/ai-agent-skills
- License: MIT
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.