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/ai-sdlc-framework/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/plugins/ai-sdlc-framework/ai-sdlc/ai-sdlc-plugin)<a href="https://agentmods.dev/plugins/ai-sdlc-framework/ai-sdlc/ai-sdlc-plugin"><img src="https://agentmods.dev/badge/plugins/ai-sdlc-framework/ai-sdlc/ai-sdlc-plugin/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/plugins/ai-sdlc-framework/ai-sdlc/ai-sdlc-plugin"><img src="https://agentmods.dev/badge/plugins/ai-sdlc-framework/ai-sdlc/ai-sdlc-plugin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
ai-sdlc 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.
How it starts
The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
{
"name": "ai-sdlc",
"version": "0.30.0",
"description": "AI-SDLC governance framework for Claude Code — action enforcement, telemetry, quality gates, and review agents",
"author": {
"name": "AI-SDLC Framework",
"url": "https://ai-sdlc.io"
},
"homepage": "https://ai-sdlc.io",
"repository": "https://github.com/ai-sdlc-framework/ai-sdlc",
"license": "Apache-2.0",
"keywords": [
"governance",
"sdlc",
"security",
"quality-gates",
"code-review"
],
"hooks": {
"SessionStart": [
{
"hooks": [
{
"type": "command",
"command": "bash \"${CLAUDE_PLUGIN_ROOT}/hooks/session-start.sh\"",
"statusMessage": "Loading AI-SDLC governance..."
},
{
"type": "command",
"command": "bash \"${CLAUDE_PLUGIN_ROOT}/hooks/check-plugin-version.sh\"",
"statusMessage": "Checking plugin version..."
},
{
"type": "command",
"command": "bash \"${CLAUDE_PLUGIN_ROOT}/hooks/parent-on-main.sh\"",
"statusMessage": "Checking parent checkout is on main..."
},
{
"type": "command",
"command": "bash \"${CLAUDE_PLUGIN_ROOT}/hooks/usage-ingest.sh\"",
"async": true,
"timeout": 5
}
]
}
],
"SubagentStart": [
{
"hooks": [
{
"type": "command",
"command": "bash \"${CLAUDE_PLUGIN_ROOT}/hooks/subagent-start.sh\"",
"statusMessage": "Injecting AI-SDLC governance into subagent..."
}
]
}
],
"PreToolUse": [
{
"matcher": "Bash",
"hooks": [
{
"type": "command",
"command": "bash \"${CLAUDE_PLUGIN_ROOT}/hooks/enforce-blocked-actions.sh\"",
"if": "Bash(*)",
"statusMessage": "Checking action policy..."
}
]
},
{
What it installs
The manifest is a name and a version. 1 skill, 23 commands, 14 agents travel with it, and installing the plugin installs all of them — 1,579 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill decision-rubric A 168 tokens
- Command execute A 58 tokens
- Command rebase A 47 tokens
- Command executor A 97 tokens
- Command planner A 49 tokens
- Command operator-dispatch A 40 tokens
- Command resolve-conflicts A 79 tokens
- Command triage A 35 tokens
- Command cleanup A 30 tokens
- Command doctor A 41 tokens
- Command hierarchy A 50 tokens
- Command import-spec A 48 tokens
- Command review-pr A 21 tokens
- Command rfc-init A 29 tokens
- Command memory-dream A 36 tokens
- Command pipeline-status A 19 tokens
- Command init A 46 tokens
- Command version A 24 tokens
- Command dispatch-worker A 38 tokens
- Command orchestrator-tick A 40 tokens
- Command execute-parallel A 39 tokens
- Command execute-parallel-cleanup A 40 tokens
- Command execute-parallel-status A 39 tokens
- Command init-signing-key B 31 tokens
- Agent ci-conflict-resolver A 0 tokens
- Agent code-reviewer A 16 tokens
- Agent code-reviewer-codex A 32 tokens
- Agent correctness-reviewer A 39 tokens
- Agent rebase-resolver A 69 tokens
- Agent test-reviewer A 13 tokens
- Agent developer A 15 tokens
- Agent refinement-reviewer A 33 tokens
- Agent review-synthesizer A 35 tokens
- Agent review-executor A 55 tokens
- Agent review-planner A 27 tokens
- Agent review-executor-codex A 52 tokens
- Agent security-reviewer B 15 tokens
- Agent test-reviewer-codex A 34 tokens
What ships with it
1 file beside plugin.json in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 fb06d1dad93d
- 2d ago Changed 27caf5f94b4f
- 3d ago Changed 898dea252be3
- 4d ago Changed · +15 lines 9f6291001a5d
- 5d ago Changed · +5 lines 37eabfe366d0
- 6d ago Changed · +5 lines 09c9362183bf
- 7d ago Changed 7dac90ea7fda
- 8d ago Changed 7e526d1d1035
- 10d ago Changed 92bdcfbfc506
- 11d ago First seen · 159 lines scan A e4d408c939aa
ai-sdlc is a plugin published in the GitHub repository ai-sdlc-framework/ai-sdlc (415 stars, last pushed yesterday), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-08-30.
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