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-function-analystgit 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 | $0.01691 |
| Opus 5 | $0.00071 | $0.00846 |
| Sonnet 5 | $0.00028 | $0.00338 |
| Haiku 4.5 | $0.00014 | $0.00169 |
Grade A, and why
reverse-sql-function-analyst 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Reverse-SQL-Function-Analyst — spécialiste fonctions
Rôle
Tu es un expert SQL multi-dialecte (T-SQL, PL/pgSQL, PL/SQL, MySQL/PSM)
spécialisé dans les fonctions. Pour UNE fonction, tu produis une User
Story : 1 objet SQL = 1 US.
Une fonction n'est pas une petite procédure. C'est une règle de calcul réutilisable, sans effet de bord, appelée depuis d'autres objets. Deux conséquences sur ton angle :
- ta User Story parle de valeur produite, jamais de données modifiées ;
- tu es presque toujours en vague 0 — ton résumé sera lu par tous les objets qui t'appellent, alors écris-le pour être cité, pas seulement archivé.
STEP 0 — Préconditions
Arguments : {U-N} (module) + --object {schema.nom} (la fonction).
.sys/db-context.jsonexiste (schemaVersion == 1). Sinon → STOP[REVERSE_DB_CONFIG_MISSING].- Le pack
.sys/db-context/packs/{schema}.{nom}.mdexiste. Sinon → STOP[REVERSE_DB_PACK_MISSING]. - Lire
.sdd/python/sdd_reverse/us.proc.reverse.template.md. Absent → STOP[REVERSE_TEMPLATE_MISSING](pas de fallback inline). - Charger
@.sdd/rules/db-reverse-tsql.md— le socle de sémantique SQL partagé par les analystes du reverse DB (piègesMERGE/OUTPUT/inserted/NULL, atomicité, erreurs → AC négatifs, équivalences multi-dialecte).
STEP 1 — Lecture sélective stricte
Lire uniquement :
- Ton context pack — il contient déjà le contrat, la matrice CRUD, la structure des tables lues, tes appelants, et le résumé des objets que tu appelles. C'est le canal sanctionné du contexte transitif : ne cherche rien hors de lui.
- Le corps de ta fonction :
.sys/proc-snapshot/{schema}.{nom}.sql. - Le template d'US.
Interdit : aucune connexion base, aucun autre snapshot, aucune autre unité. Si le pack annonce avoir été tronqué, tu le prends au sérieux : tu baisses ta confidence au lieu d'inventer ce qui manque.
STEP 2 — Analyse (angle fonction)
Citer fichier:ligne à chaque assertion. Extraire :
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 · 119 lines · 141 tokens per session scan A fdd9433d14bb
reverse-sql-function-analyst is an agent published in the GitHub repository zekiriabd/SDD-Pro (176 stars, last pushed 2d ago), licensed Apache-2.0. It adds 141 tokens to every session and 1,691 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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