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 charlieviettq/awesome-agent-skill --skill fin-earnings-summarygit clone --depth 1 https://github.com/charlieviettq/awesome-agent-skillWrote 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/charlieviettq/awesome-agent-skill/fin-earnings-summary)<a href="https://agentmods.dev/skills/charlieviettq/awesome-agent-skill/fin-earnings-summary"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/fin-earnings-summary/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/charlieviettq/awesome-agent-skill/fin-earnings-summary"><img src="https://agentmods.dev/badge/skills/charlieviettq/awesome-agent-skill/fin-earnings-summary.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 | $0.00112 | $0.01199 |
| Opus 5 | $0.00056 | $0.00600 |
| Sonnet 5 | $0.00022 | $0.00240 |
| Haiku 4.5 | $0.00011 | $0.00120 |
Grade A, and why
"fin-earnings-summary" 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
95% identical to fin-earnings-summary — 8 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.
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.
Earnings Call Summary & Analysis
Framework
IRON LAW: Separate Facts from Spin
Management presentations emphasize positives and downplay negatives.
Your job is to extract: (1) hard numbers, (2) forward guidance with
specificity level, and (3) what management DIDN'T say (notable omissions).
"Strong momentum" without numbers is spin.
"Revenue grew 15% to NT$2.3B" is a fact.
Earnings Call Structure
| Section | Duration | What to Extract |
|---|---|---|
| Prepared Remarks | 15-20 min | Revenue, EPS, margins, key metrics — actual vs guidance vs consensus |
| Management Commentary | 10-15 min | Forward guidance, strategic initiatives, market outlook |
| Q&A | 20-30 min | What analysts are worried about (revealed by their questions), management's candor level |
Key Data Points to Extract
Financial Highlights (vs Consensus)
| Metric | Actual | Consensus | Beat/Miss | YoY Change |
|---|---|---|---|---|
| Revenue | ${X} | ${X} | Beat/Miss by {%} | {%} |
| EPS | ${X} | ${X} | Beat/Miss by {%} | {%} |
| Gross Margin | {%} | {%} | ±{pp} | ±{pp} |
| Operating Margin | {%} | {%} | ±{pp} | ±{pp} |
Forward Guidance
| Metric | Guidance | Prior Guidance | Change | Specificity |
|---|---|---|---|---|
| Next Q Revenue | ${X}-${X} | ${X}-${X} | Raised/Maintained/Lowered | Specific/Vague |
| Full Year EPS | ${X}-${X} | ... | ... | ... |
Qualitative Signals
- New product/initiative announcements
- Market/demand commentary (strengthening, stable, weakening)
- Competitive positioning updates
- Capital allocation (buyback, dividend, M&A, capex)
- Tone: confident, cautious, defensive, evasive
Analysis Steps
Phase 1: Extract Numbers
- Revenue, EPS, margins — actual vs consensus vs prior guidance
- Beat or miss on each line item
Phase 2: Evaluate Guidance
- Did they raise, maintain, or lower guidance?
- How specific is the guidance? (range vs vague)
- Implied assumptions (growth rate, margin trajectory)
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.
- 9d ago First seen · 120 lines · 112 tokens per session scan A 327871db9771
"fin-earnings-summary" is a skill published in the GitHub repository charlieviettq/awesome-agent-skill (26 stars, last pushed 1mo ago), licensed MIT. It adds 112 tokens to every session and 1,199 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to fin-earnings-summary, differing in 8 lines, and is treated as a copy.
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