Browser Screenshot DiffCAUTION
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Overview
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
ef7d4f0535e5OBSERVED · 2026-09-25What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: browser-screenshot-diff description: Visual + DOM diff between two recorded sessions at matching trajectory step ids; used for visual regression and replay verification argument-hint: "<session-id-a> <session-id-b> [--threshold <0..1>] [--mode pixel|dom|both]" allowed-tools: mcp__plugin_ruflo-core_ruflo__browser_eval Bash Read Write --- # Browser Screenshot Diff Compare two recorded sessions step-by-step. Pairs each step in session A to the same `step-id` in session B, diffs the captured screenshot and accessibility snapshot, reports the first divergence and an aggregate similarity score. ## When to use - Visual regression after a UI change (record before, record after, diff). - Verifying a `browser-replay` run matches the parent session within tolerance. - Comparing two A/B variants of the same form flow. ## Steps 1. **Locate both RVF containers**: ```bash npx -y [email protected] rvf status <session-id-a>.rvf npx -y [email protected] rvf status <session-id-b>.rvf ``` 2. **Load both trajectories** from `trajectory.ndjson`. Build a `step-id → (screenshot_path, snapshot_path)` map for each. 3. **Pair steps** by `step-id`. Steps that exist on only one side are flagged as `unmatched` and contribute to the divergence score. 4. **Pixel diff** (`--mode pixel|both`): compare the two PNGs at each step. Report `mse`, `psnr`, and the bounding box of the largest diff cluster. Threshold default `0.02` (2% of pixels). 5. **DOM diff** (`--mode dom|both`): compare the accessibility snapshots node-by-node. Report added / removed / changed nodes with their accessible names. 6. **Aggregate similarity**: weighted average across matched steps, weighted by step duration. Verdict goes into a new `findings.md` under a fresh RVF container so the diff itself is replayable. 7. **Persist** the diff verdict in `browser-sessions` under both source ids' tags so future searches surface "ran a diff against session X". ## Caveats - Pixel diff is sensitive to font hinting, antialiasing, and scrollbar position. Keep viewport pinned across both sessions. - DOM diff over Playwright's accessibility tree is more stable than HTML diff. Prefer it. - This skill does not handle dynamic content (clocks, ads); add ignore regions to the field map or pre-process snapshots before diffing. - The `browser_screenshot_diff` MCP tool is **not** planned (ADR-0001 §7); the skill operates against locally-saved RVF artifacts and uses `browser_eval` only for live verification.
Trust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (4)
crates
plugin/agents
plugin/commands
plugin/skills
Gates applied: no_behavioural_pass.
ef7d4f0535e5full audit observations/trust-audit/skill/ruvnet__browser-screenshot-diff.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-09-25 | ef7d4f0535e5 | CAUTION | B | 89 | first audit |
Questions
What does the Browser Screenshot Diff skill do?
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Is Browser Screenshot Diff safe to install?
With care. The audit graded it B (89/100) and found 4 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can Browser Screenshot Diff access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (ef7d4f0535e5), read on 2026-09-25. The repository is watched, and a new audit runs when it changes — this is the first audit.