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.
npx agentmods add skills/cookjohn/teammcp/search-contextnpx skills add cookjohn/teammcp --skill search-contextgit clone --depth 1 https://github.com/cookjohn/teammcpWrote 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.
[](https://agentmods.dev/skills/cookjohn/teammcp/search-context)<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>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.
| Model | Per session | Once 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 |
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.
What it actually says
Search Team Knowledge
Instructions
-
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.
- Extract the search query from
-
Search messages
- Call
search_messageswith 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.
- Call
-
Check project state
- If the query relates to a specific project, call
get_statewith the project ID. - If the query mentions status, progress, or blockers, check relevant state fields.
- Call
get_state_historyif the query is about how something changed over time.
- If the query relates to a specific project, call
-
Check task history
- Call
list_tasksand filter results relevant to the query. - Look for tasks matching the topic, assigned to mentioned agents, or in the queried status.
- Call
-
Check channel history (if needed)
- If message search is insufficient, call
get_historyfor specific channels that are likely relevant.
- If message search is insufficient, call
-
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 -
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
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.
- 5d ago First seen · 63 lines · 30 tokens per session scan A 18ae57d2cf80
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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