Agent Discovery Scaffold

imboard-ai/agent-discovery-scaffold v1.1.2 risk: low signed Draft

Analyze a project and generate structured entry-point documentation (AGENTS.md + module catalog) so external AI agents can understand capabilities without full codebase exploration

Objective: Make any project instantly discoverable by external AI agents by generating structured manifests of capabilities, reusable modules, and entry points

Use it

Inspect metadata

ai-dossier info imboard-ai/agent-discovery-scaffold

Download to the current directory

ai-dossier pull imboard-ai/agent-discovery-scaffold

Verify, then run

ai-dossier run imboard-ai/agent-discovery-scaffold

Needs the CLI.

Trust and risk

Declared risk level	low (modifies_files)
Requires approval	no
Checksum	`sha256:5d1ed68587b9725d444be747692d23d81c320938a908aa5a9557a445a43cbe4e`
Signature	ed25519, key `imboard-ai` by Yuval Dimnik <yuval.dimnik@gmail.com>
Signed at	2026-07-26T12:46:30.429Z (covers frontmatter+body)
Public key	`m97FPrnq/zKlQArLvJl3bTZCUMWWpp/d0UJ/OfUKZeE=`

These values are copied from the published dossier header. This site does not verify them: run ai-dossier verify before trusting a dossier.

Details

Categories	documentation, development
Tags	agent-discovery, documentation, agents-md, module-catalog, onboarding, reusability
Tools required	node, git
Authors	Yuval Dimnik
Source	raw `.ds.md`