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Transcript Grep

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hoangsonww
transcript-grep

Search a Claude Code session transcript for a string or regex pattern and show every matching message with surrounding context. Reads /api/sessions/:id/transcript and resolves sessions via /api/sessions?limit= from the Agent Monitor dashboard. Use when hunting for a specific message, prompt, tool call, or error inside a session's conversation.

Overview

Publisherhoangsonww
RepositoryClaude-Code-Agent-Monitor
Skill nametranscript-grep
Stars
1.1K
Forks
260
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by hoangsonww on GitHub. Read the source before you install it.

Installation

Install the Transcript Grep AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-devtools/skills/transcript-grep
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/hoangsonww/Claude-Code-Agent-Monitor.git /tmp/Claude-Code-Agent-Monitor
mkdir -p .claude/skills
cp -r /tmp/Claude-Code-Agent-Monitor/plugins/ccam-devtools/skills/transcript-grep .claude/skills/transcript-grep
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Transcript Grep in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Transcript Grep on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Transcript Grep is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Transcript Grep

Find where a pattern appears in a session transcript and show the matches in context.

Input

The user provides: $ARGUMENTS

Interpreted as a session reference plus a search pattern, e.g. <session-id> "rate limit" or latest TypeError. Parsing rules:

  • The session reference is the first token if it looks like an id, or the words latest/last (most recently updated session).
  • The remainder is the search pattern (string or regex, quoted if it contains spaces).
  • If no session is given, default to the most recent session.

Data Sources

EndpointReturns
GET /api/sessions?limit=Nsession list to resolve latest/last and to confirm the id exists
GET /api/sessions/:id/transcriptthe ordered transcript messages (role, content, tool calls/results, timestamps) for the session

Report Sections

1. Resolve the session

If latest/last (or no id), call GET /api/sessions?limit=1. Otherwise verify the id with GET /api/sessions?limit=1000 (or GET /api/sessions/:id). Report the resolved id, status, and model before searching.

2. Fetch and search

Call GET /api/sessions/:id/transcript. Walk the messages in order and match the pattern against message text, tool_name, and tool input/output content. Case-insensitive by default; treat the pattern as a regex if it contains regex metacharacters, otherwise as a literal substring.

3. Matches with context

For each match show:

[#N  HH:MM:SS  role(:tool_name)]
  … preceding line of context …
> matching line with the **pattern** emphasized
  … following line of context …

Number matches sequentially. Include ±1–2 messages (or lines) of context so the match is interpretable. If a tool call matches, show the tool_name and a trimmed view of its arguments/result.

4. Summary

Report: total matches, how many distinct messages matched, the roles involved (user / assistant / tool), and the timestamp span of the matches. If there are zero matches, say so plainly and suggest a looser pattern.

Output

  • Lead with the match count and session header, then the contextual snippets.
  • Keep snippets trimmed — truncate long tool payloads with … rather than dumping them.
  • Cite only transcript content returned by the API — never fabricate messages.
  • If the dashboard is unreachable, tell the user to start it with npm start from the repo root.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Transcript Grep AI skill do?

Search a Claude Code session transcript for a string or regex pattern and show every matching message with surrounding context. Reads /api/sessions/:id/transcript and resolves sessions via /api/sessions?limit= from the Agent Monitor dashboard. Use when hunting for a specific message, prompt, tool call, or error inside a session's conversation.

Why use Transcript Grep on TypingMind?

Because you install it once and use it with any model. Transcript Grep is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Transcript Grep in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hoangsonww/Claude-Code-Agent-Monitor/tree/master/plugins/ccam-devtools/skills/transcript-grep. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Transcript Grep?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Transcript Grep?

As many as you like. As long as a model supports skills, you can use Transcript Grep with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Transcript Grep AI skill free?

Yes. It is published on GitHub by hoangsonww under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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