Agent QA Authoring
vostride/agent-qa
A skill your agent uses when creating, editing, validating, or running agent-qa tests, suites, or hooks.
Teaches the agent to process, ingest, analyze, and compare WebM, MP4, and GIF video recordings using vision-memory-mcp and state-memory-mcp.
Install Video Ingest
$ npx skills add putervision/state-memory-mcp --skill video-ingest -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install putervision/state-memory-mcp video-ingest --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/putervision/state-memory-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/video-ingest .claude/skills/video-ingest && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "video-ingest" agent skill from https://github.com/putervision/state-memory-mcp/tree/main/.agents/skills/video-ingest into .claude/skills/video-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-ingest", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/putervision/state-memory-mcp/tree/main/.agents/skills/video-ingestType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add putervision/state-memory-mcp --skill video-ingest -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install putervision/state-memory-mcp video-ingest --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/putervision/state-memory-mcp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/video-ingest .agents/skills/video-ingest && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "video-ingest" agent skill from https://github.com/putervision/state-memory-mcp/tree/main/.agents/skills/video-ingest into .agents/skills/video-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-ingest", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add putervision/state-memory-mcp --skill video-ingest -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install putervision/state-memory-mcp video-ingest --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/putervision/state-memory-mcp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/video-ingest .cursor/skills/video-ingest && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "video-ingest" agent skill from https://github.com/putervision/state-memory-mcp/tree/main/.agents/skills/video-ingest into .cursor/skills/video-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-ingest", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/putervision/state-memory-mcp.git --path .agents/skills/video-ingest--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add putervision/state-memory-mcp --skill video-ingest -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install putervision/state-memory-mcp video-ingest --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/putervision/state-memory-mcp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/video-ingest .gemini/skills/video-ingest && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "video-ingest" agent skill from https://github.com/putervision/state-memory-mcp/tree/main/.agents/skills/video-ingest into .gemini/skills/video-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-ingest", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install putervision/state-memory-mcp video-ingestInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add putervision/state-memory-mcp --skill video-ingest -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/putervision/state-memory-mcp.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/video-ingest .github/skills/video-ingest && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "video-ingest" agent skill from https://github.com/putervision/state-memory-mcp/tree/main/.agents/skills/video-ingest into .github/skills/video-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-ingest", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add putervision/state-memory-mcp --skill video-ingest -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install putervision/state-memory-mcp video-ingest --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/putervision/state-memory-mcp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/video-ingest .opencode/skills/video-ingest && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "video-ingest" agent skill from https://github.com/putervision/state-memory-mcp/tree/main/.agents/skills/video-ingest into .opencode/skills/video-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "video-ingest", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
video-ingest- GitHub stars
- 111
- Token cost
- ~902 tokens
- SKILL.md length
- 334 words
- Files
- 1
- Skills in repo
- 7
- Repo updated
- First seen
- Licence
- MIT
At a glance
Teaches the agent to process, ingest, analyze, and compare WebM, MP4, and GIF video recordings using vision-memory-mcp and state-memory-mcp.
- Works in 5 steps: When to Use Video Ingestion → Ingestion Strategies & Parameter Tuning → Mandatory Dual-MCP Evidence Workflow → …
- Tasks that involve MCP servers
- SKILL.md covers 1. When to Use Video Ingestion, 2. Ingestion Strategies &…, 3. Mandatory Dual-MCP Evidence… and 4. CLI Quick Reference, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Video Ingest is an agent skill from putervision/state-memory-mcp. Teaches the agent to process, ingest, analyze, and compare WebM, MP4, and GIF video recordings using vision-memory-mcp and state-memory-mcp.
Its SKILL.md is about 900 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol. The repository describes itself as: Persistent, branch-aware workflow state memory MCP server for AI coding assistants. Tracks tasks, accepted decisions, and active blockers to prevent session context bloat and… The licence is MIT.
When your agent uses it
- Tasks that involve MCP servers
Example prompts
- “Use the video-ingest skill to teach the agent to process, ingest, analyze, and compare WebM, MP4, and GIF video recordings using vision-memory-mcp…”
- “/video-ingest”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 0f60ae4. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Video Ingest loads about 902 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 334 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from putervision/state-memory-mcp at commit 0f60ae4, republished under its MIT licence (© putervision). 334 words, ~902 tokens.
Download SKILL.mdSave it as
.claude/skills/video-ingest/SKILL.md (or your agent's skills folder).- name
- video-ingest
- description
- Teaches the agent to process, ingest, analyze, and compare WebM, MP4, and GIF video recordings using vision-memory-mcp and state-memory-mcp.
Video Frame Digesting & Temporal Memory Skill (video-ingest)
This skill provides step-by-step guidance, best practices, and operational patterns for digesting WebM, MP4, and GIF video recordings using @putervision/vision-memory-mcp.
1. When to Use Video Ingestion
Use video ingestion whenever you encounter:
- E2E Playwright / Cypress / Selenium Test Artifacts: Recorded
.webmscreenchunks or.mp4test run videos. - Bug Reproduction Videos: User-uploaded screen recordings demonstrating UI glitches or crashes.
- UI Walkthrough Recordings: Demonstrations of complex multi-step user workflows.
- Visual Regression Diagnostics: Comparing a passing baseline video run against a failing test run.
2. Ingestion Strategies & Parameter Tuning
| Scenario | Recommended Parameters | Why |
|---|---|---|
| Action Event Timestamps (Highest Precision) | action_timestamps: [1.2, 3.5, 7.0] | Samples keyframes at exact interaction timestamps (clicks, types, navigation events) from test runners or state-memory logs. |
| Dynamic UI / Animations | scene_threshold: 0.3, fps: 1 | Combines scene-change detection (gt(scene,0.3)) with 1 fps background sampling to capture major screen transitions without frame bloat. |
| High-Speed Test Runs | fps: 2 or fps: 5 | Increases frame rate sampling for rapidly switching UI test steps. |
| Long Screen Recordings | fps: 0.5, scene_threshold: 0.4 | Lowers sampling rate to conserve storage while extracting unique keyframe states. |
3. Mandatory Dual-MCP Evidence Workflow
When diagnosing bugs or linking test runs to task nodes:
- Ingest Video: Call
manage_video(action: "ingest") with file path and action timestamps. - Extract Evidence Payload: Read the returned
evidence_payloadcontainingsource_video_id,frame_range, andtimestamps_ms. - Build Evidence Pack: Call
create_evidence_packlinkingkeyframe_state_idswithstate-memory-mcptask or blocker node IDs. - Compare Trajectories (On Failure): Call
compare_states(video_a_id: "...", video_b_id: "...")to pinpoint exact frame divergence points.
4. CLI Quick Reference
# Ingest WebM / MP4 video recording with custom category
vision-memory-mcp video ingest ./recording.webm --category e2e_test
# Ingest with explicit action timestamps
vision-memory-mcp video ingest ./bug.mp4 --category bug_repro --action-timestamps 1.2,3.5,8.0
# Inspect chronological timeline & keyframes for a video ID
vision-memory-mcp video inspect vid_d7fc21c0ad52f861
# List all ingested video memory records
vision-memory-mcp video list5. Consolidated Video MCP Tools Reference
manage_video(action: "ingest"): Ingests video file/base64, extracts keyframes, dHash deduplicates, and generates CLIP vector embeddings.manage_video(action: "timeline"): Fetches step-by-step keyframes, exact timestamps (timestamp_ms), OCR snippets, and grounded target handles.manage_video(action: "search"): Searches video memory by description query, category, tags, or file path.compare_states(video_a_id,video_b_id): Calculates similarity score between two recordings and pinpoints exact timestamp divergence.create_evidence_pack: Produces an immutable, cryptographically hashable evidence pack payload linking keyframes to task graph nodes.
© putervision, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .agents/skills/video-ingest of putervision/state-memory-mcp.
Open the folder on GitHubat commit 0f60ae4
Compare with similar skills
Video Ingest next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Video Ingest this skillputervision/state-memory-mcp | 111 | — | ~902 | Automated safety check: Pass | MIT | |
| Agent QA Authoringvostride/agent-qa | 902 | — | ~569 | Automated safety check: Pass | Custom licence | |
| Agent QA Result Triagevostride/agent-qa | 902 | — | ~394 | Automated safety check: Pass | Custom licence | |
| Lightpandalightpanda-io/agent-skill | 101 | — | ~6k | Automated safety check: Pass | Apache-2.0 | |
| Opik Comparecomet-ml/opik-mcp | 219 | — | ~2.6k | Automated safety check: Notes | Apache-2.0 | |
| Agent QA Debug Fixvostride/agent-qa | 902 | — | ~398 | Automated safety check: Pass | Custom licence |
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Related
Works with
Categories
Questions about Video Ingest
What does Video Ingest do?
Teaches the agent to process, ingest, analyze, and compare WebM, MP4, and GIF video recordings using vision-memory-mcp and state-memory-mcp. Video Ingest is an agent skill from putervision/state-memory-mcp. Teaches the agent to process, ingest, analyze, and compare WebM, MP4, and GIF video recordings using vision-memory-mcp and state-memory-mcp.
When should I use Video Ingest?
Video Ingest fits situations like: tasks that involve MCP servers.
How do I install Video Ingest in Claude Code?
Run `npx skills add putervision/state-memory-mcp --skill video-ingest -a claude-code`. Or copy the skill folder (.agents/skills/video-ingest in putervision/state-memory-mcp) into .claude/skills/video-ingest in your project. Claude Code loads it when a task matches its description.
How do I install Video Ingest in Codex?
Run `npx skills add putervision/state-memory-mcp --skill video-ingest -a codex`. Or copy the skill folder (.agents/skills/video-ingest in putervision/state-memory-mcp) into .agents/skills/video-ingest in your project. Codex loads it when a task matches its description.
Can I use Video Ingest in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add putervision/state-memory-mcp --skill video-ingest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/video-ingest, .gemini/skills/video-ingest, .github/skills/video-ingest and .opencode/skills/video-ingest in your project.
What does Video Ingest need to run?
SKILL.md names no scripts, command-line tools or credentials: Video Ingest is instructions for the agent only.
Does Video Ingest access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Video Ingest safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Video Ingest use?
Video Ingest is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Video Ingest use?
About 902 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Video Ingest?
Skills that share tags, products or a category with Video Ingest: Agent QA Authoring (vostride/agent-qa, 902 stars), Agent QA Result Triage (vostride/agent-qa, 902 stars), Lightpanda (lightpanda-io/agent-skill, 101 stars) and Opik Compare (comet-ml/opik-mcp, 219 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Video Ingest?
putervision (a GitHub organization) maintains it in putervision/state-memory-mcp, which has 111 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 3, 2026.
Source: putervision/state-memory-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.