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.
npx skills add vladm3105/aidoc-flow-framework --skill sdd-modulegit clone --depth 1 https://github.com/vladm3105/aidoc-flow-frameworkWrote 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/skills/vladm3105/aidoc-flow-framework/sdd-module)<a href="https://agentmods.dev/skills/vladm3105/aidoc-flow-framework/sdd-module"><img src="https://agentmods.dev/badge/skills/vladm3105/aidoc-flow-framework/sdd-module/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/skills/vladm3105/aidoc-flow-framework/sdd-module"><img src="https://agentmods.dev/badge/skills/vladm3105/aidoc-flow-framework/sdd-module.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 | $0.00049 | $0.00415 |
| Opus 5.5 | $0.00020 | $0.00166 |
| Sonnet 5.5 | $0.00010 | $0.00083 |
| Haiku 4.5 | $0.00005 | $0.00042 |
Grade A, and why
sdd-module 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 19d 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.
What it actually says
SDD Module Author
Framework skill — routes to
framework/governance/SEED_TO_MODULE_DECOMPOSITION.md(Triple-Lens standard) andframework/governance/MODULE_LAYOUT.md(directory structure + rules). Paths below use<skills-root>= thisframework/skills/directory. Upstream: the seed (sdd-seed) must stand — modules decompose it, never invent beyond it.
1. Model through all three lenses
Every module in docs/modules/MODULE-NN_* is an architectural subsystem
(a C4-L2 container): deployable services, datastores, and dependencies
mapped to approved archetypes. Lens two traces DFD-L2 data movement —
trust boundaries and sensitivity (PII/secrets). Lens three choreographs the
sequence/process flow. A module missing a lens is a sketch, not a module.
2. Use the standard layout
Register in MODULE-00_index.md. Directory form for multi-file modules
(README.md overview, architecture.svg, decisions.md with seed
references, constraints.md invariants); flat single-file form otherwise.
Decisions cite the seed claims they resolve — untraced design is the exact
drift the seed contract exists to catch.
3. Cover the lifecycle
Module touches on a lifecycle-carrying CHG need a module_lifecycle entry
(archive → sync → version, affected modules only), each carrying
author + chg_ref — CHG-L014/L015 are errors, not advice. Next:
sdd-brd per module, then the SDD cascade.
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.
- 19d ago First seen · 39 lines · 49 tokens per session scan A e8f8676d9d93
sdd-module is a skill published in the GitHub repository vladm3105/aidoc-flow-framework (17 stars, last pushed 5d ago), licensed MIT. It adds 49 tokens to every session and 415 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 2026-10-26.
sdd-module compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| sdd-modulevladm3105/aidoc-flow-framework | Skill | 17 | 5d ago | MIT | A | 49 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 80k | 7d ago | MIT | A | 200 | Claude Code, Codex |
| next-cache-components-adoptionvercel/next.js | Skill | 144k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |