Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligencenpx agentmods add skills/agentii-ai/agentii-investment-intelligence/clarifyWrote 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/agentii-ai/agentii-investment-intelligence/clarify)<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/clarify"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/clarify/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/agentii-ai/agentii-investment-intelligence/clarify"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/clarify.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 | $0.00085 | $0.00571 |
| Opus 5 | $0.00043 | $0.00285 |
| Sonnet 5 | $0.00017 | $0.00114 |
| Haiku 4.5 | $0.00009 | $0.00057 |
Grade A, and why
clarify 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.
What it actually says
agentii.clarify
The 8th kit command — closes the gap Q32 itself assumed: upstream
speckit-clarify re-evaluates the quality checklist after every spec write, but
spec 046 never named the command that performs the clarification.
Two phases
1. Analyze (deterministic)
python3 kit-scripts/agentii_cmd.py clarify --thesis theses/001-… --questions
Emits a JSON list of candidate questions, each with:
id(stable — content-derived from the target)target(pillar id / field / universe row)question(exact, in the spec's working language)options(derived where possible; null = free-form)
Candidates come from a deterministic scanner (never vibes): prose wrong_if
(missing metric=/threshold=/source=), universe rows without rationale,
missing budget, missing expiry_triggers, subscription tokens not in
TICKER × skill form, missing as_of/pins, pillars without priority.
2. Encode (after the human answers)
python3 kit-scripts/agentii_cmd.py clarify --thesis theses/001-… --answers '<json>'
- Appends each answer to
spec.md's## Clarificationssection (- [YYYY-MM-DD] Q: … → A: …). - Re-evaluates
checklists/thesis-quality.mdafter the write (Q32: the machine-maintained checklist is bidirectional — report "N/M items passing" plus regressions).
Rules
- Max 5 questions per round (upstream v1.0.4's tightened limit; spec recorded it as the convention to follow).
- Only ask what blocks the next step — every question must name the field it unblocks.
- Answers are encoded verbatim (professional English); a Chinese question is translated to English before encoding (the project's first language is English).
- Never ask about facts obtainable from the platform (that's the skills' job); clarify intent only.
What ships with it
1 file 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.
- today First seen · 55 lines · 85 tokens per session scan A c80640e5fc56
clarify is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (204 stars, last pushed today), licensed Apache-2.0. It adds 85 tokens to every session and 571 once invoked, about $0.0004 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 2026-09-11.
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