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/implementWrote 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/implement)<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/implement"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/implement/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/implement"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/implement.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 | $0.00048 | $0.00432 |
| Opus 5 | $0.00024 | $0.00216 |
| Sonnet 5 | $0.00010 | $0.00086 |
| Haiku 4.5 | $0.00005 | $0.00043 |
Grade A, and why
implement 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.implement
Before dispatch
- Checklist soft gate (Q29): scan
checklists/*.md; on unchecked items, stop and ask — the human may proceed (it is a soft gate, not a hard block). - Budget check (Q58):
budget{max_tasks, max_retries_per_task}— exceeding halts with a Q39 approval card; never a silent overrun. The dispatcher checks budget first,max_in_flightsecond (Q82). - Resume matrix (Q56): absent → run; valid FR-090 → skip; corrupted →
--resume;stale→ leave for converge. The filesystem IS the checkpoint. thesis_dirpassed explicitly (Q37) — no singleton pointer; cwd fallback is human-only and journaled.
During dispatch
- Cross-vertical handoff passes artifact paths, never content (Q13 rule 3).
skill_pin: {skill_name: version_hash}recorded before the first task (version_hash= content hash of SKILL.md +references/); a version change mid-thesis uses the new version and appends the new hash (Q57).[x]written on completion — display-only; converge never reads it.
Invocation
python3 scripts/dispatch.py --thesis-dir theses/001-ai-semiconductors --task "NVDA recent-quarter default" --journal theses/001-ai-semiconductors/shards/run1.ndjson
Gate 4 (before mass dispatch, consequential — never delegable) shows budget and parallelism; it must attach a budget estimate.
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 · 38 lines · 48 tokens per session scan A 226929bb6371
implement is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (203 stars, last pushed today), licensed Apache-2.0. It adds 48 tokens to every session and 432 once invoked, about $0.0002 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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