feature/agent skill staleness#181
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glenngillen
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July 9, 2026 12:59
liamg
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Add detection of stale Infracost agent skills across the AI agents the
CLI supports, so users (and the LLMs driving them) are told when an
agent is running an old skill version and auto-update hasn't kept up.
How it knows what's installed: each agent gains a version detector —
`plugin list` / `skills list` parsing for Claude, Copilot CLI and
Gemini; the VS Code clone's plugin.json for Copilot VS Code; a version
marker stamped into ~/.gitlab/duo/skills/ for GitLab Duo. "Latest" is
the `version` field of the plugin manifest on agent-skills' default
branch (the same field Claude's marketplace gates updates on), fetched
over HTTP.
Surfacing (all three, per design):
- End-of-run nag: main.go prints a caution when a configured agent is
behind, pointing at `infracost agent setup` to upgrade. This is
fully async and never blocks the command — the nag reads the last
on-disk cached result instantly, while a detached goroutine refreshes
the cache (probing agents + fetching latest) for the next run. A
cold-cache command returns in ~14ms. Suppressed on the
setup/remove/status/update commands.
- `infracost agent status`: a live, on-demand view of every installed,
detectable agent and whether it's up to date.
- `infracost doctor`: the AI Agents category now flags stale skills
(and correctly handles binary-less agents like Duo, which it
previously reported as "skipped").
The check is disk-cached for 24h (mirroring the self-update check),
skipped on test binaries and via INFRACOST_SKIP_AGENT_CHECK, and its
cache file is allowlisted from the cache prune sweep. `agent setup` and
`agent remove` clear the cache so a fix or removal isn't shadowed by a
stale warning.
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Adding feature to check currently installed agent skills and nudge people to upgrade to the latest if they've fallen behind.
(merge #179 first as this builds on it)