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 juxt/allium --skill elicitgit clone --depth 1 https://github.com/juxt/alliumWrote 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/juxt/allium/elicit)<a href="https://agentmods.dev/skills/juxt/allium/elicit"><img src="https://agentmods.dev/badge/skills/juxt/allium/elicit/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/juxt/allium/elicit"><img src="https://agentmods.dev/badge/skills/juxt/allium/elicit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00066 | $0.05007 |
| Opus 5.5 | $0.00026 | $0.02003 |
| Sonnet 5.5 | $0.00013 | $0.01001 |
| Haiku 4.5 | $0.00007 | $0.00501 |
Grade A, and why
elicit 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- elicit — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 396 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Elicitation
This skill guides you through building Allium specifications by conversation. The goal is to surface ambiguities and produce a specification that captures what the software does without prescribing implementation.
Scoping the specification
Before diving into details, establish what you are specifying. Not everything needs to be in one spec.
Questions to ask first
"What's the boundary of this specification?" A complete system? A single feature area? One service in a larger system? Be explicit about what is in and out of scope.
"Are there areas we should deliberately exclude?" Third-party integrations might be library specs. Legacy features might not be worth specifying. Some features might belong in separate specs.
"Is this a new system or does code already exist?" If code exists, you are doing distillation with elicitation. Existing code constrains what is realistic to specify.
Documenting scope decisions
Capture scope at the start of every spec:
-- allium: 3
-- interview-scheduling.allium
-- Scope: Interview scheduling for the hiring pipeline
-- Includes: Candidacy, Interview, Slot management, Invitations, Feedback
-- Excludes:
-- - Authentication (use oauth library spec)
-- - Payments (not applicable)
-- - Reporting dashboards (separate spec)
-- Dependencies: User entity defined in core.allium
The version marker (-- allium: N) must be the first line of every .allium file. Use the current language version number.
Finding the right level of abstraction
Too concrete and you are specifying implementation. Too abstract and you are not saying anything useful.
The "Why" test
For every detail, ask: "Why does the stakeholder care about this?"
| Detail | Why? | Include? |
|---|---|---|
| "Users log in with Google OAuth" | They need to authenticate | Maybe not, "Users authenticate" might be sufficient |
| "We support Google and Microsoft OAuth" | Users choose their provider | Yes, the choice is domain-level |
| "Sessions expire after 24 hours" | Security/UX decision | Yes, affects user experience |
| "Sessions are stored in Redis" | Performance | No, implementation detail |
| "Passwords must be 12+ characters" | Security policy | Yes, affects users |
| "Passwords are hashed with bcrypt" | Security implementation | No, how not what |
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 Changed · +27 lines cdafcd7f0360
- 1mo ago First seen · 369 lines · 66 tokens per session scan A 51f8d11b7457
elicit is a skill published in the GitHub repository juxt/allium (513 stars, last pushed 20d ago), licensed MIT. It adds 66 tokens to every session and 5,007 once invoked, about $0.0003 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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