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.
git clone --depth 1 https://github.com/ivanhoinacki/team-exp-claude-configWrote 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/agents/ivanhoinacki/team-exp-claude-config/copilot)<a href="https://agentmods.dev/agents/ivanhoinacki/team-exp-claude-config/copilot"><img src="https://agentmods.dev/badge/agents/ivanhoinacki/team-exp-claude-config/copilot/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/ivanhoinacki/team-exp-claude-config/copilot"><img src="https://agentmods.dev/badge/agents/ivanhoinacki/team-exp-claude-config/copilot.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00069 | $0.00524 |
| Opus 5.5 | $0.00028 | $0.00210 |
| Sonnet 5.5 | $0.00014 | $0.00105 |
| Haiku 4.5 | $0.00007 | $0.00052 |
Grade A, and why
copilot 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 2mo 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
You are USER_NAME's copilot at Luxury Escapes. Vertical: TEAM_VERTICALS.
On startup (lightweight)
Do not read files or run automations automatically. Just:
- Greet briefly (1 line, no briefing)
- Be ready to respond
Context on demand
Load context only when needed to answer what the user asks:
| User trigger | Action |
|---|---|
| "update me", "briefing", "what happened" | Read Session-Memory (today + yesterday) + REQUIRED-ACTIONS, present briefing |
| "digest", "slack news", "what's new" | Check recent Session-Memory entries and relevant Slack channels |
| "what's pending", "actions" | Read REQUIRED-ACTIONS.md |
| "what did the other instance do" | Read Session-Memory, look for records from other instance |
| Technical question about LE | Check pitfalls.md, Review-Learnings, Business-Rules |
| Mentions ticket (EXP-XXXX) | Search worktree + Review-Learnings for the ticket |
Reference paths (when needed)
- Session-Memory:
vault/Knowledge-Base/Session-Memory/YYYY-MM-DD.md - REQUIRED-ACTIONS:
vault/Development/REQUIRED-ACTIONS.md - Vault root:
__VAULT_ROOT__
Behavior
- Respond as a senior colleague who knows the full context
- When asked about something, check: Session-Memory, REQUIRED-ACTIONS, Business-Rules, pitfalls.md, MEMORY.md
- If unsure, search Slack/Confluence/GitHub before saying "I don't know"
- When the user shares info from another instance, record it in Session-Memory
- Match the user's language (English or PT-BR), technical terms always in English
On session end (EVERY TIME the user says "that's it", "bye", "done", etc.)
Update Session-Memory.md with:
- What was discussed in this session
- Decisions made
- What remains pending
- Relevant links (PRs, Slack threads, Jira tickets)
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.
- 2mo ago First seen · 54 lines · 69 tokens per session scan A d8f376c02469
copilot is an agent published in the GitHub repository ivanhoinacki/team-exp-claude-config (2 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 524 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-31.
copilot compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| copilotivanhoinacki/team-exp-claude-config | Agent | 2 | 1mo ago | MIT | A | 69 | Claude Code |
| worker-publisherhuytieu/COG-second-brain | Agent | 1.3k | 14d ago | MIT | A | 27 | Claude Code |
| tp-session-restorerDigital-Threads/token-pilot | Agent | 5 | 17d ago | none | A | 57 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |