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This seems very nice! Only downside is that the repo hadn't any updates in two weeks and they seem to have shifted development to 'Gitclaw' which is basically the same just with the shitty claw name - that gives one immediately security nightmare notions. For professional users not a good branding in my opinion.
Earlier quoted context omitted.
dotenv came out 2012, the .env convention predates LLMs and agents by quite some time.
.env was designed for local development ... not for storing production secrets, and user credentials are exactly that
Fair criticism, and I want to address it directly rather than dodge it.
The `.env` pattern is intentionally scoped to local development — a developer running their own agent with their own keys on their own machine. For that use case, the threat model is 'don't accidentally commit secrets,' which `.gitignore` does solve.
_pdp_ is right that this breaks down the moment you're handling credentials that belong to someone else — OAuth tokens, multi-tenant keys, anything production-adjacent. That's a real gap in the current spec.
What we're planning: a `secrets:` block in `agent.yaml` supporting pluggable backends — OS keychain, 1Password CLI, Vault, AWS SSM — so the spec has a first-class path for production secret management instead of implicitly blessing `.env` for all contexts.
But I'd genuinely love more input from this thread — if you were designing secret management for a git-native agent spec, what would you want it to look like? What patterns have worked well in your setups? This is an open spec and the best ideas should win.
The bottleneck isn't "how do I define my agent." It's "how do agents find the right tool for their task." I run a search service that 110+ agents use. They don't browse catalogs or read specs. They describe what they need ("MCP server for Postgres") and expect results back immediately. The definition format matters far less than whether the description is good and whether something can find it. SKILL.md, AGENTS.md, S…
Interesting approach! I’m currently exploring the intersection of AI agents and server security. Seeing more 'active' agents that can interact with the environment rather than just suggesting code snippets is definitely where the industry is heading. Great job on this
I have attempted to read the documentation for this page and the post and I have no idea what this does. I use agents every day in my work and I don't know what this contributes other than adding a lot of noise to my repo.
very cool. I think I use many of those patterns in my repos. But I think having more standardized way is interesting.I will see if I can fit it in at my project https://sublimated.com/ that also have some opinions how to make git even more agents friendly.
we're talking about md files in a git repo, right?
This seems very nice! Only downside is that the repo hadn't any updates in two weeks and they seem to have shifted development to 'Gitclaw' which is basically the same just with the shitty claw name - that gives one immediately security nightmare notions. For professional users not a good branding in my opinion.
The three-file split is a clean design — separating personality from capabilities from config mirrors how most frameworks model agents internally, which probably makes the export layer more natural. Curious how you handle the capability gap when exporting though: if I define a SKILL.md that relies on tool-use patterns CrewAI supports but Claude Code doesn't (or vice versa), does the export silently drop it, or does `…