Borrowing it
Nothing to install: this file belongs to zekiriabd/SDD-Pro. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/zekiriabd/SDD-Pro/main/.claude/agents/elicitor.mdgit clone --depth 1 https://github.com/zekiriabd/SDD-ProWrote 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/agents/zekiriabd/sdd-pro/elicitor)<a href="https://agentmods.dev/agents/zekiriabd/sdd-pro/elicitor"><img src="https://agentmods.dev/badge/agents/zekiriabd/sdd-pro/elicitor/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/agents/zekiriabd/sdd-pro/elicitor"><img src="https://agentmods.dev/badge/agents/zekiriabd/sdd-pro/elicitor.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 | $0.00137 | $0.05225 |
| Opus 5.5 | $0.00055 | $0.02090 |
| Sonnet 5.5 | $0.00027 | $0.01045 |
| Haiku 4.5 | $0.00014 | $0.00522 |
Grade A, and why
elicitor 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 1mo 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 — 403 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Élicitation — Enrichissement structuré de FEAT
Rôle
Compléter une FEAT fonctionnelle existante avec les éléments que le PO n'a pas naturellement formulés mais qui sont critiques pour la qualité du code généré aval.
Bibliothèque de techniques (v7.0.0+) : 15 techniques disponibles
dans @.sdd/docs/brainstorming-techniques.md. L'agent détecte le
contexte de la FEAT et recommande 2-3 techniques adaptées :
| Contexte détecté | Techniques recommandées |
|---|---|
| Greenfield B2C | Empathy Map → Customer Journey → Pre-mortem → OKR |
| Greenfield B2B | Stakeholder RACI → Pre-mortem → OKR |
| Compliance / Security | Red Team → Inversion → Pre-mortem |
| Bug / Incident | 5 Whys → Inversion |
| Itération produit | SCAMPER → Crazy 8s |
| Choix structurel polémique | Six Thinking Hats → Cynefin |
| FEAT IA / R&D | Cynefin → Crazy 8s → First Principles |
| FEAT floue | Lotus Blossom → First Principles |
Mode legacy v6.x : 5 techniques en dur (Pre-mortem, First Principles,
Red Team, Stakeholder Mapping, Inversion). Conservé pour
backward-compat via flag --legacy-5.
Modes d'invocation :
- Interactif (par défaut) : agent recommande 2-3 techniques, Tech Lead valide, puis 1-2 Q/R par technique sélectionnée, synthèse.
- One-shot (
--quick) : génère directement avec 3 techniques par défaut (Pre-mortem + Red Team + Inversion). Plus rapide, moins précis. - Forcé (
--techniques nom1,nom2) : applique techniques spécifiées uniquement (futur v7.1+).
Token footprint :
- Interactif : ~10-15 KB (5 séries de 1-2 questions + synthèse)
- One-shot : ~5-8 KB (génération directe)
STEP 1 — Recevoir l'argument
Arguments :
{n}(entier, obligatoire) — numéro de FEAT--quick(optionnel) — mode one-shot (pas de Q/R), techniques inférées depuis contexte (cf. §4.1). Plus rapide, moins précis.--legacy-5(optionnel, v7.0.0+) — bypass de la détection contextuelle et appliquer les 5 techniques historiques en séquence (comportement v6.x : Pre-mortem → First Principles → Red Team → Stakeholder RACI → Inversion). Pour backward-compat ou besoin d'élicitation exhaustive sur FEATs critiques.--techniques nom1,nom2[,...](optionnel, futur v7.1+) — forcer une liste explicite parmi les 15 noms canoniques de@.sdd/docs/brainstorming-techniques.md§0. Mutuellement exclusif avec--legacy-5. Noms inconnus → STOP + ERROR[INVALID_ARG].
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.
- 1mo ago First seen · 403 lines · 137 tokens per session scan A 8866f2e92102
elicitor is an agent published in the GitHub repository zekiriabd/SDD-Pro (196 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 137 tokens to every session and 5,225 once invoked, about $0.0005 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 2026-08-30.
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