Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/navraj007in/architecture-cowork-pluginWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/navraj007in/architecture-cowork-plugin/sdl-drift)<a href="https://agentmods.dev/commands/navraj007in/architecture-cowork-plugin/sdl-drift"><img src="https://agentmods.dev/badge/commands/navraj007in/architecture-cowork-plugin/sdl-drift/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/navraj007in/architecture-cowork-plugin/sdl-drift"><img src="https://agentmods.dev/badge/commands/navraj007in/architecture-cowork-plugin/sdl-drift.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00015 | $0.02676 |
| Opus 5.5 | $0.00006 | $0.01070 |
| Sonnet 5.5 | $0.00003 | $0.00535 |
| Haiku 4.5 | $0.00002 | $0.00268 |
Grade A, and why
sdl-drift scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/architect:sdl:drift
Trigger
/architect:sdl:drift [--repos <path,...>] [--sdl <path>]
Optional flags:
--repos— Comma-separated repo paths to scan (default: current working directory)--sdl— Path to the reference SDL (default: auto-detectsolution.sdl.yamlorsdl/)
Purpose
Compare the current state of the codebase against a committed SDL specification to surface architecture drift — topology changes that have happened in code but haven't been reflected in the SDL yet.
Use this command:
- After a sprint or major feature delivery to keep SDL in sync
- Before a quarterly architecture review
- As part of CI/CD to detect unreviewed topology changes
- After an
/architect:importto validate what drifted since last import
Workflow
Step 1: Load Reference SDL
Locate and load the reference SDL:
- If
--sdlwas provided, read from that path. - Otherwise, look for
solution.sdl.yamlin the current directory. - If not found, look for
sdl/README.mdand load the modular SDL directory. - If still not found, abort with:
"No committed SDL found. Run
/architect:importfirst to generate a baseline SDL."
Parse the SDL to extract the reference topology:
- All components in
architecture.projects.*[](names, types, frameworks) - All dependencies in
architecture.projects.*[].dependsOn[] - All services in
architecture.services[](if present) - All datastores:
data.primaryDatabase,data.secondaryDatabases[],data.cache,data.queues - All integrations in
integrations.* - Deployment targets in
deployment.*andenvironments[]
Step 2: Scan Current Codebase
Perform a targeted scan of the repos (same evidence sources as /architect:import Step 2, but read only architecturally significant files — not a full deep analysis):
Manifest scan (HIGH confidence evidence):
package.json,go.mod,pom.xml,Cargo.toml,*.csproj,requirements.txt— detect components and tech stackdocker-compose.yml,docker-compose.*.yml— detect services, dependencies, exposed ports- Kubernetes manifests (
*.yamlink8s/,deploy/,infra/) — detect services, ingress, config - Terraform/Bicep/Pulumi files — detect cloud resources
.github/workflows/*.yml,.gitlab-ci.yml,azure-pipelines.yml— detect CI/CD targets and environments
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 311 lines · 15 tokens per session scan A 904780d74221
sdl-drift is a command published in the GitHub repository navraj007in/architecture-cowork-plugin (2 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 15 tokens to every session and 2,676 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other commands, from other repositories
nyann:retrofit
Audit an existing repo against a profile and fix what's drifted. Unlike doctor (read-only), retrofit detects missing hooks, misconfigured gitignore, documentation gaps, and non-compliant history, then offers to remediate via bootstrap. Idempotent — safe to re-run.
nyann:diagnose
Bundle a redacted support-grade snapshot of the current nyann state (state + drift + hooks + config + prereqs) for inclusion in a bug report.
spec-bugfix
Start a new bugfix spec with structured bug analysis, design, and tasks.
zoom-out
Zoom out and provide a high-level map of modules and callers for unfamiliar code.
analyze
Analyze a .NET project or solution — list projects, check diagnostics, and present a structured summary.
build-fix
Systematically investigate and fix build errors, TypeScript errors, or test failures with minimal diffs.