Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add conorbronsdon/agent-skills --skill recovergit clone --depth 1 https://github.com/conorbronsdon/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/conorbronsdon/agent-skills/recover)<a href="https://agentmods.dev/skills/conorbronsdon/agent-skills/recover"><img src="https://agentmods.dev/badge/skills/conorbronsdon/agent-skills/recover/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/conorbronsdon/agent-skills/recover"><img src="https://agentmods.dev/badge/skills/conorbronsdon/agent-skills/recover.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00022 | $0.01015 |
| Opus 5.5 | $0.00009 | $0.00406 |
| Sonnet 5.5 | $0.00004 | $0.00203 |
| Haiku 4.5 | $0.00002 | $0.00102 |
Grade A, and why
recover scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- recover — 89% identical, 52 lines differ
How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/recover — Worktree & Branch Cleanup
Scan for orphaned worktrees, stale branches, and partial work left behind by crashed or abandoned Claude Code sessions. Read-only by default — reports findings and waits for approval before cleanup.
Invocation: deliberately model-invocable — scanning is read-only. Every cleanup action is gated on explicit user approval.
When to Use
- After a system crash or forced session termination
- When parallel session hooks warn about stale processes
- When you find commits on unknown branches
- Periodic hygiene (monthly or after heavy parallel work)
Instructions
0. Detect the default branch
Don't assume main. Resolve it once and use it everywhere below:
DEFAULT=$(git symbolic-ref --short refs/remotes/origin/HEAD 2>/dev/null | sed 's|^origin/||')
DEFAULT=${DEFAULT:-$(git remote show origin 2>/dev/null | sed -n 's/.*HEAD branch: //p')}
DEFAULT=${DEFAULT:-main} # no remote at all — fall back and note it in the report
1. List all worktrees
git worktree list --porcelain
Identify:
- Recently touched worktrees: files or
.gitmetadata modified in the last hours — treat as possibly live.git worktree listcannot tell whether a session is actually running; without a lock/heartbeat file or process evidence, classify as unknown activity and never as orphaned. - Candidate-orphaned worktrees: no recent modification and no activity signal — proceed to inspection, still gated on user approval before any cleanup
- Stale entries: Git tracks a worktree but the directory is gone
2. Inspect orphaned worktrees
For each orphaned worktree:
git -C <worktree-path> status --short
git -C <worktree-path> branch --show-current
git -C <worktree-path> log --oneline -3
git log "$DEFAULT"..<branch-name> --oneline
Classify each as:
- CLEAN: No unmerged commits, no uncommitted changes — safe to remove
- HAS COMMITS: Unmerged commits exist — needs merge decision
- HAS CHANGES: Uncommitted work — needs save decision
- BOTH: Unmerged commits AND uncommitted changes — needs careful handling
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 118 lines · 22 tokens per session scan A ef8428e4fc0f
recover is a skill published in the GitHub repository conorbronsdon/agent-skills (10 stars, last pushed 21d ago), licensed MIT. It adds 22 tokens to every session and 1,015 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
parallel-worktrees
Parallel git worktrees for concurrent Claude Code sessions. Use when working on multiple features or writer/reviewer workflows.
github-release-management
GitHub release orchestration — automated versioning, testing, deployment, and rollback. Use when cutting a release, tagging a version, drafting release notes, or coordinating a deploy/rollback workflow.
agentic-jujutsu
Quantum-resistant, self-learning version control for AI agents, with ReasoningBank intelligence and multi-agent coordination. Use when designing agent memory/versioning, coordinating multiple agents over shared state, or building experience-replay and learning loops into an agentic system.
github-multi-repo
Multi-repository coordination, synchronization, and architecture management across many GitHub repos. Use when changes span several repositories, keeping repos in sync, or planning cross-repo architecture and dependency work.
github-project-management
GitHub project management with issue tracking, project-board automation, and sprint planning. Use when triaging or organizing issues, automating a project board, planning a sprint, or running release/roadmap coordination on GitHub.
verification-loop
After a feature or refactor on this Windows estate, run six checks in order and write a PASS or FAIL note before a draft pull request. Use when work is about to be committed, pushed, or handed to another harness.