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 audit-xlsgit 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/audit-xls)<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/audit-xls"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/audit-xls/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/audit-xls"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/audit-xls.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 | $0.00042 | $0.01604 |
| Opus 5.5 | $0.00017 | $0.00642 |
| Sonnet 5.5 | $0.00008 | $0.00321 |
| Haiku 4.5 | $0.00004 | $0.00160 |
Grade A, and why
audit-xls 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
audit-xls
Triggers
- Audit spreadsheet
- formula error detection
- hardcoded cell finder
- cross-sheet reference audit
- workbook auditor
- Excel model audit
- financial model QA
- spreadsheet review
- cell dependency trace
- formula integrity check
Defaults
| Parameter | Default Value | Rationale |
|---|---|---|
| ticker | (required) | Stock symbol to analyze |
| lookback_quarters | 1 | Standard lookback for this skill type |
Methodology
1. Retrieval Scope
This skill operates with retrieval_scope: simple_lookup. It uses only profile/entity metadata tools — no document or XBRL retrieval at scale.
2. Retrieval Strategy
Follows the retrieval strategy decision tree in contracts/retrieval.md. Primary branch: (d) Simple Lookup. Resolve the canonical ticker first (exact → fuzzy alias → share-class) before any data call.
3. Temporal Scope
Default lookback: 1 fiscal quarter(s); maximum: 1. 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)get_company_financials— consolidated IS/BS/CF highlightsget_calculation_tree— XBRL calculation linkbase (weights)validate_calculation— XBRL calc-consistency validationlist_sources— used by this skill per the retrieval strategy
5. Protocol
- Pre-flight:
get_company_fiscal_calendar/{ticker}thenget_ticker_coverage/{ticker}. - Lookup:
get_company_profile/{ticker}/get_entity_knowledgefor the requested metadata field(s). - Output: write the deliverable per
## Output File, then append toagentii.md.
Deliverable Chain
Inputs → Build → Validate → Output → Next
- Inputs: resolved ticker + structured facts (
search_xbrl_facts,get_company_financials) and any filing pages from the three-layer protocol. - Build: perform the formula / hardcoded-cell / cross-sheet-reference audit on the input workbook and write the
.mdaudit report per## Output Structure. - Validate: run the
## Validation Gatesbelow. - Output: write the artifact path per
## Output File. - Next: append to
agentii.md; hand off to a downstream pitch/review skill if requested.
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.
- 1mo ago Changed · +6 lines 883295ceaf64
- 1mo ago Changed f034fc82d625
- 1mo ago First seen · 128 lines · 42 tokens per session scan A acbb88d04855
audit-xls is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (208 stars, last pushed today), licensed Apache-2.0. It adds 42 tokens to every session and 1,604 once invoked, about $0.0002 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 2026-08-30.
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