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 Yijia-Xiao/FinanceHarness --skill consensus-checkgit clone --depth 1 https://github.com/Yijia-Xiao/FinanceHarnessWrote 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/yijia-xiao/financeharness/consensus-check)<a href="https://agentmods.dev/skills/yijia-xiao/financeharness/consensus-check"><img src="https://agentmods.dev/badge/skills/yijia-xiao/financeharness/consensus-check/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/yijia-xiao/financeharness/consensus-check"><img src="https://agentmods.dev/badge/skills/yijia-xiao/financeharness/consensus-check.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 | $0.00041 | $0.00338 |
| Opus 5 | $0.00020 | $0.00169 |
| Sonnet 5 | $0.00008 | $0.00068 |
| Haiku 4.5 | $0.00004 | $0.00034 |
Grade A, and why
consensus-check 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 9d 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.
This is a copy
89% identical to consensus-check — 5 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Consensus check
What the Street expects for a name, and whether recent news supports it.
Workflow
- Consensus snapshot.
data_equity_estimatesfor price targets (mean/median, range vs current), forward EPS by period (mean, range, analyst counts, growth) and revenue by period (mean, growth), and the buy/hold/sell spread. - Corroborate.
search+visitrecent, authoritative coverage — the latest earnings/guidance, notable upgrades/downgrades, and the direction of estimate revisions. Ground each specific claim in a page you read. - Report. The consensus expectation and the dispersion (tight vs wide targets), the rating skew, and whether recent developments are pushing estimates up or down.
Principles
- These are estimates — present them as consensus expectations, not facts, and note the dispersion (a wide target range is itself the signal).
- Pair the tool's consensus numbers with what changed recently; a stale consensus and a fresh guidance cut tell different stories.
- Attribute web-sourced specifics to the page you read; mark anything you couldn't confirm as unverified.
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.
- 9d ago First seen · 34 lines · 41 tokens per session scan A 3272c12bc94c
consensus-check is a skill published in the GitHub repository Yijia-Xiao/FinanceHarness (126 stars, last pushed 17d ago), licensed Apache-2.0. It adds 41 tokens to every session and 338 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to consensus-check, differing in 5 lines, and is treated as a copy.
Other skills, from other repositories
consensus-check
Summarize the sell-side view on an equity — analyst price targets, forward EPS/revenue estimates and ratings — and corroborate it against recent guidance and estimate revisions from the web.
equity-deep-dive
A thorough single-equity deep dive — read the recent qualitative picture from the web, then ground it in fundamentals and health ratios, an intrinsic DCF with a sensitivity range, a comparable-company cross-check, and the analyst-consensus view.
dcf-valuation
Estimate a public equity's intrinsic value with a discounted-cash-flow model — pull fundamentals, set a discount rate via CAPM/WACC, project free cash flow, and discount it.
relative-valuation
Value an equity against its peers — peer-median trading multiples applied to the company's metrics for an implied range, cross-read against its own valuation ratios.
ticker-snapshot
Quick structured overview of a single public equity — identity, sector, market cap, valuation ratios, current price, recent trend.
wealth-structure
A framework for thinking about wealth through ownership, responsibility, leverage, and avoiding risks that could end your progress.