MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
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.
$ npx skills add tutti-os/tutti --skill tutti-record-agent-session-replay -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tutti-os/tutti tutti-record-agent-session-replay --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/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-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 "tutti-record-agent-session-replay" agent skill from https://github.com/tutti-os/tutti/tree/main/.codex/skills/tutti-record-agent-session-replay into .claude/skills/tutti-record-agent-session-replay/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tutti-record-agent-session-replay", 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/tutti-os/tutti/tree/main/.codex/skills/tutti-record-agent-session-replayType 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 tutti-os/tutti --skill tutti-record-agent-session-replay -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tutti-os/tutti tutti-record-agent-session-replay --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tutti-os/tutti.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/tutti-record-agent-session-replay .agents/skills/tutti-record-agent-session-replay && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tutti-record-agent-session-replay" agent skill from https://github.com/tutti-os/tutti/tree/main/.codex/skills/tutti-record-agent-session-replay into .agents/skills/tutti-record-agent-session-replay/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tutti-record-agent-session-replay", 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 tutti-os/tutti --skill tutti-record-agent-session-replay -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tutti-os/tutti tutti-record-agent-session-replay --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tutti-os/tutti.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/tutti-record-agent-session-replay .cursor/skills/tutti-record-agent-session-replay && 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 "tutti-record-agent-session-replay" agent skill from https://github.com/tutti-os/tutti/tree/main/.codex/skills/tutti-record-agent-session-replay into .cursor/skills/tutti-record-agent-session-replay/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tutti-record-agent-session-replay", 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/tutti-os/tutti.git --path .codex/skills/tutti-record-agent-session-replay--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 tutti-os/tutti --skill tutti-record-agent-session-replay -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tutti-os/tutti tutti-record-agent-session-replay --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tutti-os/tutti.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/tutti-record-agent-session-replay .gemini/skills/tutti-record-agent-session-replay && 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 "tutti-record-agent-session-replay" agent skill from https://github.com/tutti-os/tutti/tree/main/.codex/skills/tutti-record-agent-session-replay into .gemini/skills/tutti-record-agent-session-replay/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tutti-record-agent-session-replay", 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 tutti-os/tutti tutti-record-agent-session-replayInstalls 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 tutti-os/tutti --skill tutti-record-agent-session-replay -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tutti-os/tutti.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/tutti-record-agent-session-replay .github/skills/tutti-record-agent-session-replay && 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 "tutti-record-agent-session-replay" agent skill from https://github.com/tutti-os/tutti/tree/main/.codex/skills/tutti-record-agent-session-replay into .github/skills/tutti-record-agent-session-replay/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tutti-record-agent-session-replay", 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 tutti-os/tutti --skill tutti-record-agent-session-replay -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tutti-os/tutti tutti-record-agent-session-replay --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tutti-os/tutti.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/tutti-record-agent-session-replay .opencode/skills/tutti-record-agent-session-replay && 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 "tutti-record-agent-session-replay" agent skill from https://github.com/tutti-os/tutti/tree/main/.codex/skills/tutti-record-agent-session-replay into .opencode/skills/tutti-record-agent-session-replay/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tutti-record-agent-session-replay", 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.
tutti-record-agent-session-replayFrom 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. 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.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 207beee. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (JavaScript), which the agent can run.
Shell commands in SKILL.md call:
pnpmnodegitFrom the folder's file list and the shell code blocks in SKILL.md.
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.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
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.
.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.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):
scenarios/*.mjs (prepare / drive /
assert) in the case repository — that script is the recording plan.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.
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:
pnpm install
pnpm devOpen 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.
AGENTS.md files.docs/architecture/agent-session-replay.md (Provider support: developer
recording currently accepts local:codex and local:claude-code only).docs/architecture/agent-gui-node.md and
packages/agent/gui/AGENTS.md.packages/agent/host/README.md; lifecycle semantics remain in Host.git status --short in both repositories and preserve pre-existing
work.../tutti-replay checkout. Do not guess another
location if none exists.Read the selected Case before planning:
cases/<case-id>/case.jsoncases/<case-id>/scenarios/*.mjs except *.impl.mjsruntime-fixtures/cassettes/, evidence/, and relevant Run artifactsREADME.md and CONTEXT.md when publication or Case
lifecycle is involvedIf 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.
cases/<case-id>/scenarios/*.mjs in the case repository.scenario-runtime/.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:
| Layer | Where | Who | Scope |
|---|---|---|---|
| Product | Tutti | experienced / mentored | Adapter capture, projected tape, portability, structural audit, outbound verification, input-unit barriers, isolated Provider home, deterministic fail-closed Replay for local:<provider> |
| Cases | case repository | can hand to intern after product gate | providerProfiles, 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.
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 RecordProve 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.
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.
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:
prepare, drive, and assert;expectedRecordingMode when continuing an existing Session.Know the runner hook boundary before accepting the scenario:
prepare, drive, assert(phase="terminal"), and
assert(phase="recorded").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:
activity-events.jsonl as the
expected intent/effect or direct stimulus and is consumed by a checkpoint.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.
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:
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 60000Prefer 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:
logs/desktop.log;state/logs/tuttid.log;state/tuttid.db through targeted queries;Do not dump an entire Provider stream or expose account data.
Run the bundled structural audit from the Tutti root:
node .codex/skills/tutti-record-agent-session-replay/scripts/audit-cassette.mjs \
.tmp/cassettes/<cassette-name>Require:
packages/agent/session-replay/activity-contract.json;case.json and the scenario assertions.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.
Replay from a fresh isolated Tutti runtime and pass the scenario so checkpoint
screenshot settling runs. Remember that scenario.assert does not run here:
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 60000Require 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:
captureFrame screenshots, including transient states rather than
only the final stable UI.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.
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:
cases/<case-id>/cassettes/ and evidence/ as one Case operation,
preserving the previous qualified artifacts in the case repository's
archive convention.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.
docs/conventions/testing.md plus any closest-area checks.Report:
© 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
SKILL.md and 2 other files (scripts) in .codex/skills/tutti-record-agent-session-replay of tutti-os/tutti.
Open the folder on GitHubat commit 207beee
Tutti Record Agent Session Replay 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 |
|---|---|---|---|---|---|---|
| Tutti Record Agent Session Replay this skilltutti-os/tutti | 3.8k | — | ~4k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Hook Development for Claude Code Pluginsanthropics/claude-plugins-official | 38k | 10 repos | ~4.1k | Automated safety check: Notes | Apache-2.0 | |
| Using Superpowersfarm-fe/farm | 5.6k | 36 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 297k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Skill CreatorAzure/azqr | 796 | 89 repos | ~8.2k | Automated safety check: Pass | Apache-2.0 |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
anthropics/claude-plugins-official
Explains how to write Claude Code plugin hooks, both prompt-based checks and bash commands, for events such as PreToolUse, Stop and SessionStart.
farm-fe/farm
A skill your agent uses when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
obra/superpowers
Has the agent carry out an implementation plan itself, task by task in the current session, keeping a ledger, proving each step with a test and ending with one whole-branch review.
Azure/azqr
Create new skills, modify and improve existing skills, and measure skill performance.
anthropics/claude-plugins-official
Explains how to write agents for Claude Code plugins: the markdown file with YAML frontmatter, trigger descriptions, model and color settings, and system prompt design.
tutti-os/tutti
A skill your agent uses when working with @tutti-os/ui-system components, replacing local UI with shared components, querying component ids or metadata, promoting UI into shared base or business…
tutti-os/tutti
Analyze Chrome, Chromium, Electron, React DevTools, or Perfetto-compatible JSON traces and audit user-reported profiling findings without loading large artifacts into context; prove…
tutti-os/tutti
Create, convert, or repair one Tutti workspace app as either a self-contained publishable package under package/ or a Chrome-style local debug app under .tutti/dev-app/.
tutti-os/tutti
Build or evolve a complex agent-enabled Tutti workspace app repository.
tutti-os/tutti
Review tutti git diffs for project structure, layering, module ownership, and duplicate event-center infrastructure by planning focused architecture review tasks, then having the main agent…
tutti-os/tutti
Set up, review, run, or debug external repositories that publish a Tutti workspace app through the reusable Tutti App Release GitHub Actions workflow.
Categories
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.
Tutti Record Agent Session Replay fits situations like: real-Provider capture while a scenario.mjs executes; cassette transport; semantic-state mismatches; fresh replay qualification.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.