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-seedgit 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-seed)<a href="https://agentmods.dev/skills/vladm3105/aidoc-flow-framework/sdd-seed"><img src="https://agentmods.dev/badge/skills/vladm3105/aidoc-flow-framework/sdd-seed/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-seed"><img src="https://agentmods.dev/badge/skills/vladm3105/aidoc-flow-framework/sdd-seed.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 | $0.00040 | $0.00442 |
| Opus 5.5 | $0.00016 | $0.00177 |
| Sonnet 5.5 | $0.00008 | $0.00088 |
| Haiku 4.5 | $0.00004 | $0.00044 |
Grade A, and why
sdd-seed 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 Seed Author
Framework skill — routes to
framework/governance/SEED_CONTRACT.md(three rules, AI-attribution GOV-021, seed gap review gate). Paths below use<skills-root>= thisframework/skills/directory. Upstream of everything: modules (sdd-module) decompose the seed; the BRD absorbs, rejects, or defers each seed claim.
1. Freeze the starting point
A published seed version is immutable: once the first BRD of a cycle is
authored against seed vN, vN is historical input. A finding of the form
"the seed says X, the chain does not" resolves in the BRD, never by
amending the published version. When an assumption genuinely changes, ship
a supersede — archive vN, author vN+1 clean, link supersedes — authorized
by a CHG with a seed_scope supersede decision. New mid-cycle human input
outside the standing seed arrives through <project>/chg/, which already
has a gate.
2. Attribute every AI touch
Any document an AI agent creates or modifies in a versioned tier must carry
document_control + metadata naming the agent, the supervising human, the
authorizing CHG, and the change. Backfill is mandatory when the carrier is
missing. Lifecycle entries carry author (and chg_ref for modules) —
the machine-checked half (CHG-L015); carrier completeness stays with the
reviewer lens.
3. Seal and hand off
Run the seed gap review gate before modules begin. Next: sdd-module,
then sdd-brd. Seed-phase drafting before the first BRD is the sole
change needing neither CHG nor IPLAN — everything after it rides a vehicle.
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 · 40 lines · 40 tokens per session scan A f2fef78dea39
sdd-seed is a skill published in the GitHub repository vladm3105/aidoc-flow-framework (17 stars, last pushed 5d ago), licensed MIT. It adds 40 tokens to every session and 442 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-seed compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| sdd-seedvladm3105/aidoc-flow-framework | Skill | 17 | 5d ago | MIT | A | 40 | 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 |