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AB clawreverse

Inspect, checkpoint, rollback, and branch OpenClaw sessions with the ClawReverse plugin. Use when a user wants to recover from bad tool or file changes, restore a known-good checkpoint, inspect session lineage, create a child branch from an earlier point, or avoid re-spending tokens after a long OpenClaw run. Do not use for plain git history operations or non-OpenClaw workspaces.

ClawHub Agent Skills author: BinHuangPJLAB v0.1.0 MIT-0 27 files body ≈ 2 135 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process B 68/100 · Nearly there — weak spots: result and completion, consistency

GeneratorInfrastructureSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
B
68/100
Nearly there
Result and completion w 14
0
Consistency w 8
40
When it triggers w 12
50
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 27. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 68/100

    • 0Result and completion. Does not say what the result is
    • 40Consistency. Frontmatter name (clawreverse) differs from the folder (clawreverse-skill)
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, git) that frontmatter does not declare
    • 100Steps. 41 steps
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Failures and branches. 5 branches, has a failure section
    • 100Execution cost. Instruction body is 2135 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 10 top-level sections: this looks like several domains in one skill

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 382: enough signal without eating the budget
    • +4Structure: 22 headings
    • +3Step-by-step instructions: 41 items
    • +4Has examples (16 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: suspicious
    ClawReverse matches its rollback-and-branching purpose, but it persists raw session transcripts and prompts locally in ways users may not expect.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026