Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add nguyenthienthanh/aura-frog/plugin install aura-frogWrote 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/commands/nguyenthienthanh/aura-frog/plan-thaw)<a href="https://agentmods.dev/commands/nguyenthienthanh/aura-frog/plan-thaw"><img src="https://agentmods.dev/badge/commands/nguyenthienthanh/aura-frog/plan-thaw.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00449 |
| Opus 5 | $0.00000 | $0.00225 |
| Sonnet 5 | $0.00000 | $0.00090 |
| Haiku 4.5 | $0.00000 | $0.00045 |
Grade A, and why
plan-thaw 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 6d 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.
What it actually says
/aura-frog:plan-thaw
Reverse a freeze. Alias for /aura-frog:plan thaw <id> (v3.7.2+).
Usage
/aura-frog:plan-thaw <NODE_ID> # thaw + cascade descendants
/aura-frog:plan-thaw <NODE_ID> --partial # node only; descendants stay frozen
/aura-frog:plan-thaw <NODE_ID> --discard # set status: discarded, not planned
/aura-frog:plan-thaw <NODE_ID> --grant-replan-budget 1
Delegation
bash aura-frog/scripts/plans/thaw-branch.sh <ID> [--partial] [--discard] [--grant-replan-budget N] [--force]
The script:
- Refuses on non-
frozenstatus. - If
conflict_idis set on the node, looks up the latest record inconflicts.jsonl. Ifresolutionis null/missing → refuses (blocker still active) unless--force. - Saves checkpoint per touched node.
- Clears
freeze_reason/frozen_at/frozen_by_ancestorfields and sets new status:- default →
planned --discard→discarded
- default →
- Cascade-thaws descendants (unless
--partial) — only those previouslyfrozenget reset. - Optional
--grant-replan-budget Nadds N to the target's existing budget. - Appends
history.jsonl event=thawwith cascade list.
Compatibility check (git diff vs blocker's recorded artifacts per Tech Spec §21.6) is best-effort; full integration with conflict-arbiter ships in a later milestone.
Companion: /aura-frog:plan freeze, /aura-frog:plan replan.
Full protocol in commands/plan.md.
Deprecation timeline: soft-deprecated v3.7.2, warning v4.0, removed v5.0.
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.
- 6d ago First seen · 40 lines · 0 tokens per session scan A eed71c58cd50
plan-thaw is a command published in the GitHub repository nguyenthienthanh/aura-frog (24 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 449 tokens. 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 2026-08-30.
Other commands, from other repositories
review-agentready
AgentReady-specific code review with attribute mapping and score impact analysis.
review-pr
Multi-agent PR review with four modes (review, re-review, self-review, address-feedback) - spawns parallel subagents, saves diff to /tmp for context efficiency, supports file exclusion patterns.
resume_handoff
Resume work from handoff document with context analysis and validation.
feature
Command "feature" from hoblin/claude-ruby-marketplace, covering input format, context, workflow, step 1: setup and step 2: gather historical context.
speckit.specify
Create or update the feature specification from a natural language feature description.
speckit.checklist
Generate a custom checklist for the current feature based on user requirements.