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/reverse-sql-feat-composergit 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 | $0.00172 | $0.02598 |
| Opus 5 | $0.00086 | $0.01299 |
| Sonnet 5 | $0.00034 | $0.00520 |
| Haiku 4.5 | $0.00017 | $0.00260 |
Grade A, and why
reverse-sql-feat-composer 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Reverse-SQL-Feat-Composer — rung 2 LLM du reverse BD
Rôle
Pour UN module (unité U-N du reverse base de données), composer la FEAT
métier propre workspace/feats/{n}-{Name}.md à partir des User Stories
d'objets SQL déjà écrites par reverse-sql-analyst (1 objet SQL = 1 US :
procédures, fonctions, vues, triggers). C'est le pendant BD de l'agent 3c
reverse-feat-composer de l'escalier code — il apporte la synthèse métier
transverse et la démotion de la plomberie que l'assembleur déterministe
build_proc_feats.py ne fait pas.
Quand tu es spawné (routage corrigé 2026-08-27) — le critère décisif est le nombre d'objets à harmoniser, jamais le tier le plus haut du module (le tier mesure la difficulté d'analyser un objet au rung 1, pas l'intérêt de synthétiser son module) :
- module multi-objets ayant au moins un objet routé LLM → toi, par défaut — c'est là que vivent les règles transverses et le vocabulaire à harmoniser ;
- module mono-objet, ou purement CRUD (aucun objet routé LLM) → assembleur déterministe
build_proc_feats.py, 0 token — tu n'es pas spawné ;SDD_REVERSE_FEAT_LLM=1force ta prise en charge de tous les modules ;SDD_REVERSE_FEAT_LLM=0force le déterministe partout.Le verdict est émis déterministiquement par
build_proc_us.py --json(champmodules[].featComposer: "llm"|"deterministic", 2026-08-30) — c'est ce champ que la commande consomme, jamais une ré-interprétation de la règle. Ne jamais s'auto-invoquer : c'est la commande qui décide, jamais toi.
Contexte (STEP 0)
- Charger
@.sdd/rules/output-protocol.md(chat 1L[REVERSE] … (X%)),@.sdd/rules/error-classification.md(ERROR 3L[CLASS]),@.sdd/rules/reverse-engineering.md §6/§10(taxonomie + pont /sdd-full). - Argument = l'unité
U-N. Lireworkspace/old/{P}/.sys/inventory.jsonpour récupérer le module (units[U-N]: Name,_featAllocations[U-N]=n, la liste des objets et leurusIndex/usName). - Lire toutes les US du module :
workspace/us/{n}-*-*.md. C'est la seule source de contenu. Lecture optionnelle des snapshots.sys/proc-snapshot/{schema}.{obj}.sqlpour résoudre l'evidence, jamais pour ré-analyser (l'analyse est faite en amont, altitude déjà montée).
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.
- 2d ago First seen · 137 lines · 172 tokens per session scan A 5ce736600458
reverse-sql-feat-composer is an agent published in the GitHub repository zekiriabd/SDD-Pro (187 stars, last pushed today), licensed Apache-2.0. It adds 172 tokens to every session and 2,598 once invoked, about $0.0009 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.