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@ai-outfitter/link

Audit organizations against the Outfitter SDLC governance baseline: a read-only scanner that rates repositories on the agentic adoption ramp.

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The SDLC reference catalog, published with the tooling that measures adoption of it. The dotagents payload (agents, workflows, governance, environments, spec) is the community-profiles SDLC reference collection; the @ai-outfitter/link package audits organizations against the catalog's governance baseline and serves a site that renders the report and the defined workflows.

Quick start

Requires an authenticated gh CLI. The scanner is read-only: it lists repositories, reads git trees, and reads effective branch rules; it changes nothing.

npx @ai-outfitter/link review <org>     # scan, then serve it at :4321

review is the one to reach for: it scans and then opens the report, which is what you wanted both times. report does the scan alone, for scripts and CI, and web serves the last one without rescanning.

Either way the scan writes report.json to the working directory, plus a copy in $XDG_DATA_HOME/outfitter-link/. --out <dir> puts it somewhere else and creates the directory — how the onboarding runbook files a dated baseline into an org's .agents catalog:

npx @ai-outfitter/link report my-org --out ~/repos/my-org/.agents/reports/sdlc/2026-08-10-initial

The scan runs on plain node, so npx needs no other toolchain. With Bun installed, bunx works the same and starts faster. Scanning five orgs and 80-odd repositories takes about six seconds.

Pin a version in automation — an unpinned run executes whatever the latest release ships:

npx @ai-outfitter/link@1 report my-org

Each release is one coherent snapshot: the catalog payload and the scanner that audits against it move together. See CHANGELOG.md and the releases page.

Container

The image carries gh and git, so it needs only a token, and it serves the report too — the container is a complete path with no toolchain on the host. review is its default command, so one run scans and then serves:

docker run --rm -e GH_TOKEN="$(gh auth token)" -v "$PWD:/work" -p 4321:4321 \
  ghcr.io/ai-outfitter/link:1 review my-org

The working directory is /work; mount over it to keep the report, which lands there as report.json alongside workflows.json. A container's own state does not outlive it, so that mount is what a later web run reads.

report and web remain callable on their own when automation wants one without the other.

The site

npx @ai-outfitter/link@1 web        # http://localhost:4321; set PORT to change it

/ is the organization report; /workflows renders each agent-workflow/v1 definition with its steps, with: handoffs, posts-to: targets, and YAML source. The report page manages sources directly: add a GitHub org or a local folder in the form and rescan — the same XDG registry the CLI uses, and the same scanner, run for you.

The site ships prebuilt and needs no toolchain of its own. Run report at least once first: the page renders whatever the last scan wrote.

The report

Sources can be GitHub orgs or local folders — a single checkout, an owner folder of clones, or a whole ~/repos/ root; hidden directories are included because the org/user .agents catalog is the canonical eval anchor. link report add <org-or-path> registers a source persistently in $XDG_CONFIG_HOME/outfitter-link/sources.json.

Named targets scope the scan to themselves: link report acme reports on acme and nothing else, because that report gets filed into acme's own .agents catalog. A bare link report is the development sweep instead — every registered source plus the local ~/repos/ai-outfitter checkout. A copy of every report also lands in $XDG_DATA_HOME/outfitter-link/report.json.

The first milestone in every report is the e2e smoke test: does any path exist from an issue to an agent the org itself hosts and controls — a self-hosted harness in its own CI, or a resident agent with deploy/ manifests? SaaS coding agents (Copilot, vendor apps) are excluded by definition; being able to assign work to an agent whose destiny you control is the capability everything else builds on.

Each repository gets maturity-ramp placement (level 0–5), tree-derived signals (instruction files, .agents/, agent workflows), and a per-rule audit against governance/sdlc-baseline.yaml. Output is typed JSON validated with zod (code/report/src/schema.ts); in a checkout, workflows/*.yaml are parsed into workflows.json beside it for the site. Repositories with no push in the last 7 days are scanned and listed but excluded from the org ranking and gap counts — the site collapses them into a hidden section by default. Absence of evidence is recorded as absence — local-only practice is invisible to a forge scan, and the report says so in evidence_limits.

Contributing

Repository layout, the development loop, the Docker build, and the release workflow are in CONTRIBUTING.md.

Keywords

ai-outfitter

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Package last updated on 10 Aug 2026

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