Agent skill

Tutti Record Agent Session Replay

by tutti-os in tutti-os/tutti

From a Tutti checkout, run, audit, freshly replay, publish, or diagnose Session Replay cassettes that are driven by case-repository scenario scripts (CDP), not by interactive UI recording.

Apache-2.0Auto-check passedAgent Workflows

Install Tutti Record Agent Session Replay

skills CLI
$ npx skills add tutti-os/tutti --skill tutti-record-agent-session-replay -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install tutti-os/tutti tutti-record-agent-session-replay --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/tutti-os/tutti.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/tutti-record-agent-session-replay .claude/skills/tutti-record-agent-session-replay && rm -rf skills-src

Use ~/.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/

Facts

Skill name
tutti-record-agent-session-replay
GitHub stars
3.8k
Token cost
~4k tokens
SKILL.md length
1,728 words
Files
3 (incl. scripts)
Skills in repo
8
Repo updated
First seen
Licence
Apache-2.0

At a glance

From a Tutti checkout, run, audit, freshly replay, publish, or diagnose Session Replay cassettes that are driven by case-repository scenario scripts (CDP), not by interactive UI recording.

  • Works in 3 steps: Humans/agents write a deterministic… → Record means: Tutti runner launches… → Day-to-day Record/Replay is usually…
  • Real-Provider capture while a scenario.mjs executes
  • SKILL.md covers Start the QA console (case…, Establish scope, Maintain the ownership boundary and Add a new Provider (product vs…, plus 6 more sections
  • Runs JavaScript scripts from its folder; calls pnpm, node and git

What it does

Tutti Record Agent Session Replay is an agent skill from tutti-os/tutti. From a Tutti checkout, run, audit, freshly replay, publish, or diagnose Session Replay cassettes that are driven by case-repository scenario scripts (CDP), not by interactive UI recording. Use for real-Provider capture while a scenario.mjs executes, cassette transport or semantic-state mismatches, fresh replay qualification, AgentGUI replay evidence, and product-side support for a new Agent Target beyond local:codex / local:claude-code. Do not use to author Case metadata or scenario scripts (case repository…

Its SKILL.md is about 4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `agents/openai.yaml`).

It sits in Agent Workflows. The repository describes itself as: Where people and agents build in tune. The licence is Apache-2.0.

When your agent uses it

  • Real-Provider capture while a scenario.mjs executes
  • Cassette transport
  • Semantic-state mismatches
  • Fresh replay qualification

Example prompts

  • “/tutti-record-agent-session-replay”

Requirements

  • Node.js

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Humans/agents write a deterministic scenarios/*.mjs (prepare / drive /
  2. Record means: Tutti runner launches Desktop, CDP-executes that script
  3. Day-to-day Record/Replay is usually triggered from the case repository QA

What it can do on your machine

Read from SKILL.md and the folder at commit 207beee. 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

    Ships 1 file in scripts/ (JavaScript), which the agent can run.

    Shell commands in SKILL.md call:

    • pnpm
    • node
    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pnpm and git, which can reach the network depending on how they are called.

    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

Tutti Record Agent Session Replay loads about 4k tokens when it runs. Until then it costs about 150 tokens; SKILL.md has 1,728 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~150
When it runs · the whole SKILL.md, loaded when a task matches
~4k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from tutti-os/tutti at commit 207beee, republished under its Apache-2.0 licence (© tutti-os). 1,728 words, ~4,003 tokens.

Download SKILL.mdSave it as .claude/skills/tutti-record-agent-session-replay/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
tutti-record-agent-session-replay
description
From a Tutti checkout, run, audit, freshly replay, publish, or diagnose Session Replay cassettes that are driven by case-repository scenario scripts (CDP), not by interactive UI recording. Use for real-Provider capture while a scenario.mjs executes, cassette transport or semantic-state mismatches, fresh replay qualification, AgentGUI replay evidence, and product-side support for a new Agent Target beyond local:codex / local:claude-code. Do not use to author Case metadata or scenario scripts (case repository write-replay-case), or for executionKind "ui" Cases.

Qualify Tutti Agent Session Replay Cassettes

Work from the Tutti checkout. Keep product implementation and the generic runner in Tutti; keep Case metadata, scenario scripts, fixtures, qualified Cassettes, and evidence in the external case repository (tutti-os/tutti-replay).

Mental model (script-first, not UI recording):

  1. Humans/agents write a deterministic scenarios/*.mjs (prepare / drive / assert) in the case repository — that script is the recording plan.
  2. Record means: Tutti runner launches Desktop, CDP-executes that script against a live Provider, and captures the Cassette. There is no separate click-to-record UI workflow for Session Replay.
  3. Day-to-day Record/Replay is usually triggered from the case repository QA console; this skill is for Tutti-side CLI qualification, diagnosis, runner or Replay product defects, and new Provider capture support.

Prove qualification in this order:

existing scenario script -> live Record (script + Provider) -> structural audit -> fresh Replay -> optional publication

Never call a Cassette qualified until Record, audit, and a fresh isolated Replay have all passed. If the scenario script itself is missing or wrong, stop and use the case repository write-replay-case skill — do not invent Cases inside Tutti.

Qualification is assertion-specific, not command-specific. A replay passed exit proves transport and semantic playback, but does not prove that every Case action ran during Replay. Build a four-column matrix for each core assertion: Record proof | Cassette proof | Replay proof | Evidence. Stop and repair the scenario when any required Replay cell is empty.

Start the QA console (case repository)

Browsing Cases, Test Plans, and one-click Record/Replay (which run the same scenario scripts) live in the case repository (sibling checkout, commonly ../tutti-replay; GitHub: tutti-os/tutti-replay).

From the case repository root:

bash
pnpm install
pnpm dev

Open only http://127.0.0.1:3333 (never the API port :3334). In the UI, set the Tutti checkout absolute path, create a Test Plan, then Record or Replay. First-time machine setup: that repository's SETUP.md. Authoring or mirroring scenario scripts: .agents/skills/write-replay-case/.

For a long-lived LAN service on macOS use pnpm replay:service install (port 2333); do not run pnpm dev and the stable service at the same time.

Establish scope

  1. Read the Tutti root and closest AGENTS.md files.
  2. Read docs/architecture/agent-session-replay.md (Provider support: developer recording currently accepts local:codex and local:claude-code only).
  3. For AgentGUI behavior, also read docs/architecture/agent-gui-node.md and packages/agent/gui/AGENTS.md.
  4. For Session, Turn, Goal, or runtime-operation lifecycle behavior, read packages/agent/host/README.md; lifecycle semantics remain in Host.
  5. Inspect git status --short in both repositories and preserve pre-existing work.
  6. Resolve the case repository from the user-provided path, the configured cases path, or the sibling ../tutti-replay checkout. Do not guess another location if none exists.

Read the selected Case before planning:

  • cases/<case-id>/case.json
  • every cases/<case-id>/scenarios/*.mjs except *.impl.mjs
  • referenced shared scenario helpers and runtime-fixtures/
  • existing cassettes/, evidence/, and relevant Run artifacts
  • the case repository's README.md and CONTEXT.md when publication or Case lifecycle is involved

If case.json declares executionKind: "ui", stop this Session Replay workflow. Pure UI Cases are still script-driven (defineUiScenario + CDP), but they use ui-drive and publish ui/ screenshots — they do not Record Provider Cassettes. Author and run them via the case repository write-replay-case skill and the QA console; do not use this skill's --record / Cassette audit path for them.

Use CDP through Tutti's repository runner. Do not use Computer Use unless the user explicitly requests it.

Maintain the ownership boundary

  • Add or update Case scenarios only under cases/<case-id>/scenarios/*.mjs in the case repository.
  • Put reusable scenario helpers in that repository's scenario-runtime/.
  • Do not add Case registries, Case-specific scenarios, fixtures, or qualified Cassettes to Tutti.
  • Change Tutti only for generic product, runner, protocol, or Replay defects.
  • Fix root causes. Do not relax transport matching, semantic verification, terminal assertions, or checkpoint requirements to accept a broken Case.

Add a new Provider (product vs case repository)

Today Replay recording targets are local:codex and local:claude-code. The shared Session Replay core is provider-neutral, but each new Agent Target still needs Tutti capture + fail-closed playback before any Case work is useful.

Split work explicitly:

LayerWhereWhoScope
ProductTuttiexperienced / mentoredAdapter capture, projected tape, portability, structural audit, outbound verification, input-unit barriers, isolated Provider home, deterministic fail-closed Replay for local:<provider>
Casescase repositorycan hand to intern after product gateproviderProfiles, KNOWN_PROVIDERS, defineMirroredRecordScenario mirrors, Record via console, publish cassettes

Do not start by writing Cases for an unsupported Provider. Product must accept --agent-target-id local:<provider> for Record and Replay first.

Tutti checklist (this repository)

Copy and tick:

- [ ] 1. Provider adapter can Record real traffic into a Cassette
- [ ] 2. Projected tape + portability (paths/homes) match session-replay contract
- [ ] 3. Structural audit passes (manifest, frames, activity causality)
- [ ] 4. Fresh isolated Replay is fail-closed (no live Provider fallback)
- [ ] 5. Runner accepts --agent-target-id local:<provider>
- [ ] 6. docs/architecture/agent-session-replay.md Provider support updated
- [ ] 7. Hand off to case repository write-replay-case for mirrors + console Record

Prove with one smoke scenario from the case repository (or a temporary scenario file) using the Tutti runner Record → audit → fresh Replay loop below. Keep account secrets out of logs and reports.

Case repository handoff

After the product gate is green, follow that repository's write-replay-case skill section on multi-provider mirrors. Typical touch points there (not in Tutti): scenario-runtime/shared.mjs providerProfiles, src/shared/agent-target.ts KNOWN_PROVIDERS, mirrored *.impl.mjs + variant Case dirs, then console Record/Replay publication.

Scenario scripts (owned by the case repository)

Session Replay drive logic is authored as scripts, not captured from manual UI interaction. Prefer the case repository's write-replay-case skill and defineMirroredRecordScenario / defineRecordScenario helpers.

When diagnosing or qualifying from Tutti, still require that the loaded scenario:

  • exports prepare, drive, and assert;
  • sets Provider via profile/helper (not a hard-coded Codex-only identity);
  • sets every behavior-affecting composer default explicitly;
  • uses one stable prompt per intended Turn, with exact markers / final tokens;
  • uses accessible labels, test IDs, or semantic DOM state instead of coordinates;
  • waits before each interaction; answers each approval/question/plan once;
  • asserts a terminal state with no enabled stale controls;
  • declares expectedRecordingMode when continuing an existing Session.

Know the runner hook boundary before accepting the scenario:

  • Record calls prepare, drive, assert(phase="terminal"), and assert(phase="recorded").
  • Fresh Replay does not call scenario.assert; it replays Cassette traffic and calls settleForScreenshot at eligible checkpoints.
  • captureEvidence proves a Record state only. captureFrame inside settleForScreenshot proves a Replay checkpoint state.

For each action under test, require one Replay mechanism:

  1. Cassette-native: the action appears in activity-events.jsonl as the expected intent/effect or direct stimulus and is consumed by a checkpoint.
  2. Replay driver: when the action is not recorded (for example a local UI action after Turn completion), settleForScreenshot performs it through the real product UI/API at one exact checkpoint, asserts before/after state, and captures transient evidence.

If neither exists, classify the assertion as Record-only. Do not call the Case Replay-qualified or infer coverage from the final UI looking correct.

For question cards, the script must trigger the Provider's real user-input request. For plan Cases, wait for the completed plan and implementation decision before driving the real action.

If the script needs to change, edit it in the case repository — then re-Record.

Show full SKILL.md (662 more words)Show less

Record = execute the scenario script with a live Provider

From the Tutti root, run the repository runner so it CDP-drives the scenario file and captures a Cassette. Derive scenario ID, Cassette name, and Agent Target from the loaded scenario:

bash
pnpm e2e:agent-gui -- \
  --record .tmp/cassettes/<cassette-name> \
  --scenario <scenario-id> \
  --scenario-file <case-repository>/cases/<case-id>/scenarios/<scenario-id>.mjs \
  --agent-target-id <agent-target-id> \
  --keep-runtime \
  --timeout-ms 300000 \
  --stall-timeout-ms 60000

Prefer the case console Test Plan「录制」for routine work; use this CLI when debugging runner/Replay behavior or when the console is unavailable.

Omit --headless while debugging; add it for unattended execution. Keep the runtime only long enough to inspect or collect its artifacts.

Inspect failures from the smallest relevant evidence set:

  • record screenshots and checkpoint screenshots;
  • logs/desktop.log;
  • state/logs/tuttid.log;
  • state/tuttid.db through targeted queries;
  • the incomplete Cassette and a small decoded Provider-frame window.

Do not dump an entire Provider stream or expose account data.

Audit each Cassette

Run the bundled structural audit from the Tutti root:

bash
node .codex/skills/tutti-record-agent-session-replay/scripts/audit-cassette.mjs \
  .tmp/cassettes/<cassette-name>

Require:

  • Cassette inventory, hashes, and size policy verify;
  • the Provider manifest is complete;
  • global and per-connection frame sequences are continuous;
  • Activity sequences are continuous;
  • intent-to-effect causality satisfies packages/agent/session-replay/activity-contract.json;
  • expected interactions, plan decisions, tools, exits, terminal Turns, and final response state match case.json and the scenario assertions.
  • every Case-critical action expected to replay is present in activity-events.jsonl / checkpoint-plan.json, or is explicitly owned by a checkpoint Replay driver.

The bundled audit proves structural invariants and emits a semantic summary. It does not replace Case-specific assertions or a fresh Replay.

Before Replay, compare the audit output and raw checkpoint plan with the Case's coverage matrix. Counts alone are insufficient: for example, an Activity stream containing only activation/requested + session/activate cannot prove a later Undo/Reapply click.

Run a fresh Replay

Replay from a fresh isolated Tutti runtime and pass the scenario so checkpoint screenshot settling runs. Remember that scenario.assert does not run here:

bash
pnpm e2e:agent-gui -- \
  --replay .tmp/cassettes/<cassette-name> \
  --scenario <scenario-id> \
  --scenario-file <case-repository>/cases/<case-id>/scenarios/<scenario-id>.mjs \
  --screenshot-checkpoints \
  --keep-runtime \
  --timeout-ms 300000 \
  --stall-timeout-ms 60000

Require the runner's replay passed result, all planned checkpoints, the expected AgentGUI terminal state, and a fully drained Provider transport. Provider transport remains fail-closed; only repository-declared observer-only probes may yield to causal traffic.

Then prove each target assertion through its selected Replay mechanism:

  • Cassette-native: show the matching Activity/direct stimulus and resulting checkpoint state.
  • Replay driver: show its before/after assertions completed and inspect the named captureFrame screenshots, including transient states rather than only the final stable UI.
  • External filesystem/process side effects: prove how the fresh Replay project receives the minimal deterministic pre-action state. Cassette semantic state does not by itself recreate arbitrary Provider filesystem mutations.

Never report “Record & Replay cover the behavior” when only Record executed the Case action. Report transport/semantic Replay separately from assertion-level behavior coverage.

When one Case owns multiple scenarios, Record and audit every resulting Cassette, then qualify them together through one Replay Workspace. Let the case repository workflow generate the workspace manifest; do not invent a second Case registry in Tutti.

Publish only qualified artifacts

Prefer the case repository's publication workflow because it records the Run, archives prior artifacts, and publishes cassettes/ plus evidence/ only after qualification.

If the user explicitly requests manual publication:

  1. Stage all new Cassettes and evidence without touching the qualified copies.
  2. Verify every staged Cassette completed Record, audit, and fresh Replay.
  3. Replace cases/<case-id>/cassettes/ and evidence/ as one Case operation, preserving the previous qualified artifacts in the case repository's archive convention.
  4. Re-read every published manifest and evidence directory.

Do not infer Case lifecycle from a successful command. Run status, manual acceptance, and case.json lifecycle status are distinct. Do not set status: "confirmed" or acceptedAt unless the case repository's acceptance requirements have been satisfied.

Finish

  • If Tutti implementation changed, run the validation selected by docs/conventions/testing.md plus any closest-area checks.
  • If case metadata or scenarios changed, run the case repository's metadata, scenario, and type checks.
  • Recheck both worktrees and separate pre-existing changes from this task.
  • Perform the Tutti documentation-impact check.

Report:

  • Case and Cassette names;
  • Record, audit, and fresh Replay results;
  • Provider-frame, Activity, interaction, tool, Turn, and final-state summaries;
  • the assertion coverage matrix and exact Replay mechanism for each core action;
  • Tutti implementation changes and case repository artifact changes;
  • changed-line distribution by functional area, excluding pre-existing work;
  • documentation impact;
  • failed gates and unimplemented scope.

© tutti-os, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts) in .codex/skills/tutti-record-agent-session-replay of tutti-os/tutti.

  • SKILL.md
  • agents/openai.yaml
  • scripts/audit-cassette.mjs

Open the folder on GitHubat commit 207beee

Compare with similar skills

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Skill CreatorAzure/azqr79689 repos~8.2kAutomated safety check: PassApache-2.0

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Categories

Questions about Tutti Record Agent Session Replay

What does Tutti Record Agent Session Replay do?

From a Tutti checkout, run, audit, freshly replay, publish, or diagnose Session Replay cassettes that are driven by case-repository scenario scripts (CDP), not by interactive UI recording. Tutti Record Agent Session Replay is an agent skill from tutti-os/tutti. From a Tutti checkout, run, audit, freshly replay, publish, or diagnose Session Replay cassettes that are driven by case-repository scenario scripts (CDP), not by interactive UI recording.

When should I use Tutti Record Agent Session Replay?

Tutti Record Agent Session Replay fits situations like: real-Provider capture while a scenario.mjs executes; cassette transport; semantic-state mismatches; fresh replay qualification.

How do I install Tutti Record Agent Session Replay in Claude Code?

Run `npx skills add tutti-os/tutti --skill tutti-record-agent-session-replay -a claude-code`. Or copy the skill folder (.codex/skills/tutti-record-agent-session-replay in tutti-os/tutti) into .claude/skills/tutti-record-agent-session-replay in your project. Claude Code loads it when a task matches its description.

How do I install Tutti Record Agent Session Replay in Codex?

Run `npx skills add tutti-os/tutti --skill tutti-record-agent-session-replay -a codex`. Or copy the skill folder (.codex/skills/tutti-record-agent-session-replay in tutti-os/tutti) into .agents/skills/tutti-record-agent-session-replay in your project. Codex loads it when a task matches its description.

Can I use Tutti Record Agent Session Replay 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 tutti-os/tutti --skill tutti-record-agent-session-replay -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tutti-record-agent-session-replay, .gemini/skills/tutti-record-agent-session-replay, .github/skills/tutti-record-agent-session-replay and .opencode/skills/tutti-record-agent-session-replay in your project.

What does Tutti Record Agent Session Replay need to run?

Going by SKILL.md and its folder, Tutti Record Agent Session Replay needs JavaScript for the scripts in its folder and the command-line tools its instructions call (pnpm, node and git). Our summary lists: Node.js.

Does Tutti Record Agent Session Replay access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Tutti Record Agent Session Replay 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Tutti Record Agent Session Replay use?

Tutti Record Agent Session Replay is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Tutti Record Agent Session Replay use?

About 4k tokens (SKILL.md is roughly 16k 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 Tutti Record Agent Session Replay?

Skills that share tags, products or a category with Tutti Record Agent Session Replay: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tutti Record Agent Session Replay?

tutti-os (a GitHub organization) maintains it in tutti-os/tutti, which has 3,811 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 8, 2026.

Source: tutti-os/tutti on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.