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 revenue-decompgit 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/revenue-decomp)<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/revenue-decomp"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/revenue-decomp/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/revenue-decomp"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/revenue-decomp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00041 | $0.01410 |
| Opus 5 | $0.00020 | $0.00705 |
| Sonnet 5 | $0.00008 | $0.00282 |
| Haiku 4.5 | $0.00004 | $0.00141 |
Grade A, and why
revenue-decomp 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 7d 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:
- what-if — 88% identical, 40 lines differ
How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
revenue-decomp
Triggers
- Revenue decomposition
- segment breakdown
- geographic revenue split
- product-line waterfall
- revenue mix analysis
- business segment performance
- divisional revenue
- revenue concentration
- customer revenue dependency
- channel revenue analysis
Defaults
| Parameter | Default Value | Rationale |
|---|---|---|
| ticker | (required) | Stock symbol to analyze |
| lookback_quarters | 4 | Standard lookback for this skill type |
Methodology
1. Retrieval Scope
This skill operates with retrieval_scope: structured_only. It performs structured data retrieval only (XBRL facts, financials, earnings calendar) — no unstructured document search. Document-retrieval tools are excluded from allowed_tools.
2. Retrieval Strategy
Follows the retrieval strategy decision tree in contracts/retrieval.md. Primary branch: (a) Structured Data Query. Resolve the canonical ticker first (exact → fuzzy alias → share-class) before any data call.
3. Temporal Scope
Default lookback: 4 fiscal quarter(s); maximum: 8. The default balances recency against the trend window this analysis requires.
4. Tool Allowlist
Per frontmatter allowed_tools:
search_companies— ticker resolution + company context (entity-alias fuzzy match)search_xbrl_facts— primary structured financial facts (is_primary default)get_company_financials— consolidated IS/BS/CF highlightsget_company_profile— sector/industry classification + metadatalist_xbrl_concepts— XBRL concept discovery for non-standard line items (namespaceparam; defaultus-gaap— useifrs-fullfor foreign filers)
5. Protocol
- Pre-flight (mandatory): call
get_company_fiscal_calendar/{ticker}thenget_ticker_coverage/{ticker}; route on coverage. - Concept discovery (non-standard concepts only):
list_xbrl_concepts(query=<term>, ticker=<T>). - Structured retrieval:
search_xbrl_facts(ticker, concept=[...], fiscal_year=[...])(is_primary default) and/orget_company_financials/{ticker}. - Batch rule: 3+ same-tool queries → consolidate via
batch_search(≤8 sub-queries). - Output: write the deliverable per
## Output File, then append toagentii.md.
What ships with it
4 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.
- 7d ago Changed · +3 lines cc1debd075f0
- 12d ago First seen · 117 lines · 41 tokens per session scan A 915d55169a39
revenue-decomp is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (204 stars, last pushed yesterday), licensed Apache-2.0. It adds 41 tokens to every session and 1,410 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 2026-08-30.
Other skills, from other repositories
deal-packet
Produce the full institutional deal packet for a deal — Excel underwriting model + Word IC memo + PowerPoint deck + PDF one-pager — all Bristol-branded, fully cited, and cross-linked to one sources registry. Use when the user says "build the packet," "full workup," "put together the IC package," "model this deal," or…
deal-memo
Assemble research into a polished investment committee memo, market study, or deal one-pager. Use when the user says "write the memo," "put together an IC memo," "make a one-pager," "turn this into a document for the committee/lenders/LPs," or wants research packaged into a deliverable.
deal-pipeline
Track deals across stages and produce status updates. Use when the user says "track this deal," "what's in my pipeline," "update the status on [deal]," "give me a pipeline summary," or wants an overview of what's moving.
investor-sourcing
Research capital partners and LPs for a raise, and research who owns or controls a parcel or entity and how to contact them. Use when the user says "find investors," "who could fund this," "research this capital partner," "who owns this land/parcel," "who's behind this LLC," or needs investor/owner background and…
underwriting-research
Research the real-world assumptions behind a multifamily underwriting model — achievable rents, operating expenses, taxes, insurance, construction/hard costs, and available incentives. Use when the user says "check my assumptions," "what should I underwrite for," "research expenses/taxes/insurance/construction costs,"…
market-comp-analysis
Pull rent comps, occupancy, supply pipeline, absorption, and cap-rate trends for a submarket, then build a market study. Use when the user asks for "comps," "rent comps," "market study," "what are rents doing," "cap rates," "what's the competition," or needs the market picture behind a deal.