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state-memory-mcp: Skill for Claude Code

.agents/skills/video-ingest/SKILL.md

video-ingest is a skill for Claude Code, Codex from putervision/state-memory-mcp. It costs 38 tokens per session (877 once invoked), scanned A, original, MIT.

A guide for reading and comparing WebM, MP4, and GIF recordings. It helps an agent examine video frames over time, including test recordings and bug reports.

In plain words
What is it for?
Use it to investigate end-to-end test videos, reproduce interface bugs, review multi-step workflows, and diagnose visual differences.
Why use it?
It makes it easier to find when a screen problem happens and compare a working recording with a failing one.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is putervision/state-memory-mcp's own configuration. It tells Claude Code and Codex how to work on state-memory-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything state-memory-mcp configures →

not rated 42repo +4 1mo ago A scan SkillSpector: pass 38 tokens original MIT
View source ↗ putervision/state-memory-mcp statememorymcp.com
Reuse

Borrowing it

Nothing to install: this file belongs to putervision/state-memory-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/putervision/state-memory-mcp/main/.agents/skills/video-ingest/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/putervision/state-memory-mcp

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for video-ingest

README.md
[![agentmods](https://agentmods.dev/badge/skills/putervision/state-memory-mcp/video-ingest/github.svg)](https://agentmods.dev/skills/putervision/state-memory-mcp/video-ingest)
Your own site
<a href="https://agentmods.dev/skills/putervision/state-memory-mcp/video-ingest"><img src="https://agentmods.dev/badge/skills/putervision/state-memory-mcp/video-ingest/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.

agentmods 80×15 button for video-ingest

Your own site · 80×15
<a href="https://agentmods.dev/skills/putervision/state-memory-mcp/video-ingest"><img src="https://agentmods.dev/badge/skills/putervision/state-memory-mcp/video-ingest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 877 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00038 $0.00877
Opus 5.5 $0.00015 $0.00351
Sonnet 5.5 $0.00008 $0.00175
Haiku 4.5 $0.00004 $0.00088

Measured 2mo ago against content hash a4ba4c1c9275, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

video-ingest 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 2mo 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

.agents/skills/video-ingest/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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 .webm screenchunks or .mp4 test 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:

  1. Ingest Video: Call manage_video (action: "ingest") with file path and action timestamps.
  2. Extract Evidence Payload: Read the returned evidence_payload containing source_video_id, frame_range, and timestamps_ms.
  3. Build Evidence Pack: Call create_evidence_pack linking keyframe_state_ids with state-memory-mcp task or blocker node IDs.
  4. Compare Trajectories (On Failure): Call compare_states(video_a_id: "...", video_b_id: "...") to pinpoint exact frame divergence points.

Read the full file on GitHub · 69 lines

Changes

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.

  1. 2mo ago First seen · 69 lines · 38 tokens per session scan A a4ba4c1c9275

Subscribe to this mod's changes

video-ingest is a skill published in the GitHub repository putervision/state-memory-mcp (42 stars, last pushed 1mo ago), licensed MIT. It adds 38 tokens to every session and 877 once invoked, about $0.0002 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 2026-08-30.

Creative and mediaResearchdeveloper-toolsmcpmcp-servermodel-context-protocolsqlitestate-graph
Related

video-ingest compared with skills from other repositories

video-ingest next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
video-ingestputervision/state-memory-mcpSkill421mo agoMITA38Claude Code, Codex
opik-diagnosecomet-ml/opik-mcpSkill2259d agoApache-2.0A187Claude Code
cortex-explore-memorycdeust/CortexSkill76todayMITA91Claude Code
qmclaw-workbenchxi-zhao/OpenQuantumSkill71todayMITA124Codex
quantum-groverxi-zhao/OpenQuantumSkill71todayMITA62Claude Code, Codex
guppy-programsxi-zhao/OpenQuantumSkill71todayMITA48Claude Code, Codex
quantum-algorithmsxi-zhao/OpenQuantumSkill71todayMITA34Claude Code, Codex