Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add ai-sdlc-framework/ai-sdlc/plugin install ai-sdlcWrote 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/ai-sdlc-framework/ai-sdlc/init)<a href="https://agentmods.dev/commands/ai-sdlc-framework/ai-sdlc/init"><img src="https://agentmods.dev/badge/commands/ai-sdlc-framework/ai-sdlc/init/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/ai-sdlc-framework/ai-sdlc/init"><img src="https://agentmods.dev/badge/commands/ai-sdlc-framework/ai-sdlc/init.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 | $0.00046 | $0.00480 |
| Opus 5.5 | $0.00018 | $0.00192 |
| Sonnet 5.5 | $0.00009 | $0.00096 |
| Haiku 4.5 | $0.00005 | $0.00048 |
Grade A, and why
init scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Scaffold the required consumer configuration. The list of required files lives
in one manifest (pipeline-cli/src/config-manifest/manifest.ts); the same list
drives the /ai-sdlc execute Step 1 preflight, ai-sdlc doctor and the
SessionStart config-version notice, so what init creates is exactly what those
check (AISDLC-910).
Behavior
- Creates every manifest entry that does not exist yet. Entries that need your
input (the signing keyring, the pipeline provider) are prompted for;
--non-interactivetakes defaults (git remote, git email,~/.ai-sdlc/signing-key.pub.pem) or fails naming the entries it could not fill. - Generating your signing key is a step of init: run
/ai-sdlc init-signing-keyfirst, then init reads the public key it wrote. - Records
configVersionin.ai-sdlc/config-version.yaml. - Re-running is a no-op for entries that exist (without
--force). After a plugin update adds a required entry, re-running prompts only for that entry.
Run
PLUGIN_SCRIPTS_DIR="${CLAUDE_PLUGIN_ROOT:+$CLAUDE_PLUGIN_ROOT/scripts}"
PLUGIN_SCRIPTS_DIR="${PLUGIN_SCRIPTS_DIR:-$(pwd)/ai-sdlc-plugin/scripts}"
PIPELINE_CLI_BIN="$(bash "$PLUGIN_SCRIPTS_DIR/resolve-pipeline-cli.sh")" || exit 1
node "$PIPELINE_CLI_BIN/cli-init.mjs" $ARGUMENTS
Commit the created files on a branch and merge them through a reviewed PR: the verifier reads the keyring and review policy from the base branch.
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.
- today Changed · +2 lines 5fbbbb4ce3ef
- 2d ago First seen · 38 lines · 46 tokens per session scan A a35eb9db55a1
init is a command published in the GitHub repository ai-sdlc-framework/ai-sdlc (415 stars, last pushed yesterday), licensed Apache-2.0. It adds 46 tokens to every session and 480 once invoked, about $0.0002 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 2026-10-16.
Other commands, from other repositories
discover
Discover runtime AI components and static AI dependencies with AIR Blackbox.
evidence
Export a signed compliance evidence package as JSON or PDF for regulatory handoff.
replay
Replay recorded AI traces to detect behavioral drift between model versions.
comply
Run a full EU AI Act compliance scan on your Python AI project.
at-dsgvo
You are helping an enterprise architect generate an Austrian Data Protection Assessment — the Austrian-specific GDPR layer applied by the Datenschutzbehörde (DSB) under the Datenschutzgesetz (DSG 2018, BGBl. I Nr. 165/1999 as amended). Run this after /arckit:eu-rgpd to add Austrian obligations that go beyond the EU…
au-aescsf
You are an enterprise architect generating an Australian Energy Sector Cyber Security Framework (AESCSF) maturity assessment for an Australian energy-sector project, asset, market interface, OT environment, DER platform, or regulated energy business capability.