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 agentii-ai/agentii-investment-intelligence --skill market-share-trackinggit clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligenceWrote 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/market-share-tracking)<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/market-share-tracking"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/market-share-tracking/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/market-share-tracking"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/market-share-tracking.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 | $0.00092 | $0.01870 |
| Opus 5.5 | $0.00037 | $0.00748 |
| Sonnet 5.5 | $0.00018 | $0.00374 |
| Haiku 4.5 | $0.00009 | $0.00187 |
Grade A, and why
market-share-tracking 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 — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Methodology inspired by publicly taught commercial-tracking approaches; all text is an original paraphrase.
Defaults
| Parameter | Default Value | Rationale |
|---|---|---|
| windows | current / 4-wk / 12-wk | Three-window share + growth lattice |
| growth_metric | TRx YoY | Weekly, 4-wk, and 12-wk YoY alongside share |
| analog_count | 2 | ≥2 named same-class analogs on the launch board |
| consensus_source | company-level | Product consensus via segment-share math [DEDUCTED] |
| caveats | per-row | A number without a caveat annotation is a defect |
Preflight
Run canonical pre-flight per contracts/preflight.md. Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md — carry the _run_id from your first tool result and name yourself (and your parent, if you were spawned). Confirm ticker resolution via search_companies before commercial-track queries.
Triggers
- "Is [product] tracking above or below consensus?"
- "How is the [product] launch trending?"
- "Build the launch board for [product] with class analogs."
- "What is the consensus-implied trajectory for [product]?"
- "Show [product]'s TRx share and YoY for the last 12 weeks."
- "How fast is [biosimilar] eroding [branded product]?"
- "Stress-test [product]'s net price and GTN."
- "What are the caveats on [product]'s scripts?"
- "Track installed base and utilization for [device]."
- "How is ACIP-cohort uptake tracking for [vaccine]?"
Production Grounding
- Three-window lattice: current / 4-wk / 12-wk share and YoY; previous values shown next to new values.
- Launch boards: actuals vs ≥2 named same-class analogs + consensus-implied trajectory (consensus sales ÷ net price ÷ script duration → required TRx → linear path); assumptions stated.
- LOE erosion: entrant share vs branded YoY decay with approval/launch dates.
- GTN/net-price stress: GTN brackets (50→80% flex), $/Rx = quarterly sales ÷ scripts, channel mix; half-of-sales-minus-volume net price is a stated judgment [VIEW].
- Modality vocabularies: scripts/share/erosion (drugs & biologics); installed base, placements/procedures, utilization, ASP (devices); doses/serials, procurement, ACIP-cohort uptake (vaccines); never a script number for a device or vaccine.
- Per-row caveats: restricted scripts, rounding, indication-mixed, IV invisibility, holiday weeks — every row carries its caveat or
coverage_gap. - Badges:
[FACT]/[DEDUCTED]/[VIEW]with the summary table.
What ships with it
2 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.
- 1mo ago Changed 9d653a13a32d
- 1mo ago First seen · 164 lines · 92 tokens per session scan A fcca527e5283
market-share-tracking is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (208 stars, last pushed yesterday), licensed Apache-2.0. It adds 92 tokens to every session and 1,870 once invoked, about $0.0004 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 2026-09-15.
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