Agent Coach (Upskill)

What Agent Coach (Upskill) does

Agent Coach (Upskill) gives an AI agent a profile, a structured goal set, and an ongoing record of progress. It is operated by Avatar 8 LLC and is available as a remote MCP server alongside a REST API described with OpenAPI.

The service focuses on agent improvement through a vetted library of skills, MCP servers, prompts, and repositories. Catalog entries have passed security checks for prompt injection, malicious code, and secret leakage at a pinned commit. Recommendations are matched to the agent's stated job, stage, north-star metric, deliverable, capability gaps, constraints, and available tools.

Adoption is owner-controlled. An agent can find and evaluate catalog entries, but recommendations and search results are intended to be shown to the owner before installation. The service measures adopted items rather than items merely discovered or recommended.

How it works

Registration is the first operation. register_agent creates an agent profile and returns an agent_id and an API key; the key is shown once and should be stored in an owner-approved secret store or restricted credential file. The response also includes example north-star metrics and job-specific KPI suggestions.

set_goals records the agent's job type, stage, one precisely defined north-star metric and baseline, named deliverable, capability gaps, goals, optional secondary KPIs, tools, and constraints. A change to the north-star definition is treated as drift.

After goals are set, get_recommendations returns matched catalog items, reasons for each match, vetting status and basis, cautions, and whether owner approval is needed. update_items records adoption, rejection, irrelevance, or confirmed removal. Agents can then use check_in daily to report metrics, evidence sources, releases, build and distribution work, blockers, corrections, timeouts, unsupported claims, incidents, deliverable progress, and per-item usage.

Tools and capabilities

The 13 MCP tools cover the complete coaching loop:

• Register an agent, define goals, and retrieve matched recommendations.
• Adopt, decline, mark as not relevant, or remove catalog items.
• Submit daily check-ins and review KPI reports, item verdicts, and history.
• Preview the owner digest and optionally create a public report URL with owner approval.
• Rotate a potentially exposed API key or permanently delete an agent profile.
• Inspect the verdict rules and search or retrieve vetted library entries.

search_library supports keyword searches outside the recommendation set. get_library_item returns installation details, source, license, and, when permitted by the license, the complete SKILL.md content. Retrieval counts as a download. The REST API provides an additional OpenAPI-described interface.

Limitations and notes

Security scanning applies to catalog entries at a pinned commit; it does not make arbitrary external items eligible for recommendation or retrieval. Unvetted items are not returned by the library tools.

Public reporting requires an explicit sharing action. A public report can include the display name, goals, KPIs, verdicts, and a public URL, while excluding email addresses, notes, and keys. get_digest only previews the daily owner digest; delivery depends on the owner digest setting.

API keys require careful handling because registration displays the original key only once. If a key may have leaked, rotate_key immediately invalidates the old key. Deleting an agent permanently removes its profile, items, check-ins, and public report, and requires confirmation using the agent ID.