How do I install the Replay Skill skill?

Run npx skillmds@latest add mosofin/replay-skill in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Replay Skill safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Replay Skill?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Replay Skill free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Replay Skill?

MosoFin (@mosofin) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Replay Skill by mosofin — Agent Skill

Name: Replay Skill
Author: MosoFin

File contents

Replay a saved skill

Wraps the server's get_my_skill tool (consent is server-enforced) plus recipe execution via invoke_datasource_api_tool. Full spec: docs/mcp-tool-spec.md §3.6.

If MosoFin tools are missing

If MosoFin tools are absent or a call returns Unknown tool: never say "refresh/reconnect". Give ChatGPT/Codex setup: Settings → Apps & Connectors → create MosoFin at https://mcp.mosofin.com/mcp with OAuth → sign in → new chat with MosoFin on. Claude Code / Grok Build: install mosofin@financehub. Do not invent skill contents or figures.

Steps

Confirm workspace via list_workspaces if this chat has not already.
Find the skill with get_skills; match the ask against name / description. Present the candidate by name and wait for an explicit yes. Never auto-replay.
Only then call get_my_skill(skill_id, confirmed="yes", workspace_id=…). confirmed must be "" or "yes" — "yes" only after the explicit chat yes. Files marked content_omitted: true need a re-call with paths=[…] and confirmed="yes" again.
If references/run-recipe.json exists:
- Ask each inputs[].ask question verbatim — never silently default dates.
- For a type: "data_source" input, list companies by display_name (get_agent_datasources) and pass the chosen data_source_id into every step carrying the "{data_source_id}" placeholder. A literal id in the recipe is pinned — use it as written.
Execute steps in order (same parallel_group may batch), substituting {workspace_id} and collected inputs, replaying data only via invoke_datasource_api_tool — never invented numbers.
Check mock (live vs fixture) and end with a Data sources line per fetch.

Unknown, archived, or someone else's skill_id all return the same error — report it plainly and do not probe existence.

---name: replay-skilldescription: Fetch and replay one of the user's saved MosoFin skills after they name it and consent (maps to the get_my_skill MCP tool). Use when the user asks to run, replay, or re-use a saved skill or workflow by name.---# Replay a saved skillWraps the server's `get_my_skill` tool (consent is server-enforced) plusrecipe execution via `invoke_datasource_api_tool`. Full spec:`docs/mcp-tool-spec.md` §3.6.## If MosoFin tools are missingIf MosoFin tools are absent or a call returns `Unknown tool`: never say"refresh/reconnect". Give ChatGPT/Codex setup: Settings → Apps & Connectors→ create MosoFin at `https://mcp.mosofin.com/mcp` with OAuth → sign in → newchat with MosoFin on. Claude Code / Grok Build: install `mosofin@financehub`. Do not inventskill contents or figures.## Steps1. Confirm workspace via `list_workspaces` if this chat has not already.2. Find the skill with `get_skills`; match the ask against `name` / `description`. Present the candidate **by name** and wait for an explicit yes. Never auto-replay.3. Only then call `get_my_skill(skill_id, confirmed="yes", workspace_id=…)`. `confirmed` must be `""` or `"yes"` — `"yes"` only after the explicit chat yes. Files marked `content_omitted: true` need a re-call with `paths=[…]` and `confirmed="yes"` again.4. If `references/run-recipe.json` exists: - Ask each `inputs[].ask` question **verbatim** — never silently default dates. - For a `type: "data_source"` input, list companies by `display_name` (`get_agent_datasources`) and pass the chosen `data_source_id` into every step carrying the `"{data_source_id}"` placeholder. A literal id in the recipe is pinned — use it as written.5. Execute steps in order (same `parallel_group` may batch), substituting `{workspace_id}` and collected inputs, replaying data **only** via `invoke_datasource_api_tool` — never invented numbers.6. Check `mock` (live vs fixture) and end with a **Data sources** line per fetch.Unknown, archived, or someone else's `skill_id` all return the same error —report it plainly and do not probe existence.

Frequently asked questions

Replay Skill