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/planWrote 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/plan)<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/plan"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/plan/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/plan"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/plan.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 | $0.00061 | $0.00419 |
| Opus 5 | $0.00030 | $0.00210 |
| Sonnet 5 | $0.00012 | $0.00084 |
| Haiku 4.5 | $0.00006 | $0.00042 |
Grade A, and why
plan 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 yesterday.
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.plan
Ordering rule (Q35/Q36)
The plan starts with business understanding and ends with dateable catalysts +
sizing. Constitution Check runs twice: plan start (scalar + scope) and after
sizing (aggregate — position_pct exists only then).
Side artifacts
| artifact | content | hard requirement |
|---|---|---|
brief.md |
stage-0 context brief — Q18 retrieval keys (mechanical prefilter → pillar FTS → cold-start fallback); strategies top-N 3–5 with a method_selection: verdict each (Q7); <ref:*> framed blocks; corpus_version pin |
— |
entities.md |
entity_claims schema + entity/metric map | market_data_stage: early theses MUST define the bars schema (Q42) — without it, implement refuses |
reproduce.md |
skills + five pins + as_of |
— |
contracts/ |
output frontmatter schemas + requires: declarations |
— |
Deviation Register (Q35)
An accepted violation without Constraint | Why Accepted | Safer Alternative Rejected Because | Approver | Expiry means the plan is not complete —
agentii.plan must not report success. Every deviation carries an Expiry;
converge re-proposes re-justification at expiry.
Invocation
python3 scripts/agentii_cmd.py plan --thesis theses/001-ai-semiconductors
Gate 2 (after plan, informational) shows phases + the Deviation Register.
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.
- yesterday First seen · 39 lines · 61 tokens per session scan A d690c55f6ace
plan is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (204 stars, last pushed today), licensed Apache-2.0. It adds 61 tokens to every session and 419 once invoked, about $0.0003 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 2026-09-09.
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