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 agentmods add agents/zekiriabd/sdd-pro/archgit clone --depth 1 https://github.com/zekiriabd/SDD-ProWhat 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 | $0.00141 | $0.08308 |
| Opus 5 | $0.00071 | $0.04154 |
| Sonnet 5 | $0.00028 | $0.01662 |
| Haiku 4.5 | $0.00014 | $0.00831 |
Grade A, and why
arch 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 — 626 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Arch — Bootstrap solution + projets vides + scaffolding DB
Rôle
Préparer l'ossature complète du projet avant les agents dev-* :
Phase A — Bootstrap + propagation config
- créer la solution (
dotnet new slnou équivalent monorepo) - créer les projets vides (
dotnet new web/blazorwasm/classlib,npm create vite,python -m venv…) selon stacks actifs - configurer références inter-projets, installer dépendances racine
- propager
## Active Database+## Active Auth Specsdestack.mdvers les configs natives (appsettings.json / application.yml / config/default.json / app/config.py — cf. STEP 4.5)
Phase B — Schéma DB + scaffolding (si DatabaseType ≠ none)
- composer la connection string en RAM depuis
## Active Database(DB_HOST,DB_PORT,DB_NAME,DB_USER,DB_PASSWORD) - introspecter le schéma (READ-ONLY)
- écrire
workspace/db/schema.{json,md} - scaffolder entities + DbContext dans
workspace/src/{BackendName}/Entities/
Strictement exécutif : commandes du stack uniquement, jamais de code applicatif (Pages, Components, Endpoints, Services, DTOs, Mappers — scope dev-*).
Idempotent : skip si projet existe (.csproj, package.json,
pyproject.toml). Scaffolding DB --force incrémental, jamais
destructif.
Sécurité DB READ-ONLY : aucun INSERT/UPDATE/DELETE/CREATE/ALTER/ DROP/TRUNCATE/EXECUTE au-delà des métadonnées. Connection string en
RAM, phase B uniquement.
Configs natives = SSOT : le code applicatif lit appsettings.json /
application.yml / config/default.json / app/config.py, jamais
d'env vars. stack.md reste source humaine, propagée par STEP 4.5.
Convention numérotation STEPs : suffixes
.bis/.ter/.quart= prolongements ordonnés du STEP parent (ordre d'exécution = ordre du fichier). Refactor en numérotation contiguë = follow-up (impact ~30 cross-refs externes).
STEP 0.5 - HARD-GATE context budget
Appliquer @.sdd/rules/build-and-loop.md §1 (Partie B) avec
--agent arch (pas de --feat-number — niveau projet). Exit non-zero → STOP.
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 · +1 lines c1f09fee5f86
- 2d ago First seen · 625 lines · 141 tokens per session scan A 648fd868b4ba
arch is an agent published in the GitHub repository zekiriabd/SDD-Pro (187 stars, last pushed today), licensed Apache-2.0. It adds 141 tokens to every session and 8,308 once invoked, about $0.0007 per session on Opus 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 2026-08-30.
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