search-context

search-context is a skill for Claude Code, Codex from cookjohn/teammcp. It costs 30 tokens per session (534 once invoked), scanned A, original, MIT.

A search workflow for finding team knowledge in messages, project state, and task history. It combines results from these TeamMCP sources to answer a question about the team's work.

In plain words
What is it for?
Use it to find discussions, project status, changes over time, related tasks, owners, blockers, or information in a specific channel.
Why use it?
It removes the need to check conversations, project records, and tasks one by one. It can broaden the search and inspect state history when the first results are incomplete.

Skill for Claude CodeCodex

Part of the fakechat plugin — 9 skills shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/cookjohn/teammcp/search-context
Any agent
npx skills add cookjohn/teammcp --skill search-context
Clone the repo
git clone --depth 1 https://github.com/cookjohn/teammcp

Made for: Claude Code, Codex.

Or install fakechat, the plugin that ships this one along with the rest of its 9 skills.

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 search-context

README.md
[![agentmods](https://agentmods.dev/badge/skills/cookjohn/teammcp/search-context.svg)](https://agentmods.dev/skills/cookjohn/teammcp/search-context)
Your own site
<a href="https://agentmods.dev/skills/cookjohn/teammcp/search-context"><img src="https://agentmods.dev/badge/skills/cookjohn/teammcp/search-context.svg" alt="Measured on agentmods" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 534 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00030 $0.00534
Opus 5 $0.00015 $0.00267
Sonnet 5 $0.00006 $0.00107
Haiku 4.5 $0.00003 $0.00053

Measured 5d ago against content hash 18ae57d2cf80, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

search-context 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 5d 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.

plugin-dist/templates/skills/search-context/SKILL.md · 63 lines

What it actually says

Search Team Knowledge

Instructions

  1. Parse the query

    • Extract the search query from $ARGUMENTS.
    • If no query is provided, ask the user what they want to search for.
    • Identify key terms, agent names, project IDs, or date ranges mentioned.
  2. Search messages

    • Call search_messages with the query terms to find relevant conversations.
    • Note the channel, sender, timestamp, and content of matching messages.
    • If results are sparse, try alternative phrasings or broader terms.
  3. Check project state

    • If the query relates to a specific project, call get_state with the project ID.
    • If the query mentions status, progress, or blockers, check relevant state fields.
    • Call get_state_history if the query is about how something changed over time.
  4. Check task history

    • Call list_tasks and filter results relevant to the query.
    • Look for tasks matching the topic, assigned to mentioned agents, or in the queried status.
  5. Check channel history (if needed)

    • If message search is insufficient, call get_history for specific channels that are likely relevant.
  6. Compile results

    • Organize findings into a structured response:
    Search Results for: "<query>"
    
    Messages:
    - [timestamp] #channel @sender: relevant excerpt
    - ...
    
    Project State:
    - [project_id] field: value (if relevant)
    
    Tasks:
    - [task_id] title — status — assignee
    
    Summary:
    - Brief synthesis of what was found and how it answers the query
    
  7. Highlight gaps

    • If the search did not find sufficient information, note what is missing.
    • Suggest who to ask or where to look next.

$ARGUMENTS

  • /search-context <query>
  • Example: /search-context authentication implementation decision
  • Example: /search-context what did CEO say about launch timeline
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. 5d ago First seen · 63 lines · 30 tokens per session scan A 18ae57d2cf80

Subscribe to this mod's changes

search-context is a skill published in the GitHub repository cookjohn/teammcp (53 stars, last pushed 2mo ago), licensed MIT. It adds 30 tokens to every session and 534 once invoked, about $0.0002 per session on Opus 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.

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