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 iFurySt/aifi --skill earnings-call-analysisgit clone --depth 1 https://github.com/iFurySt/aifiWrote 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/ifuryst/aifi/earnings-call-analysis)<a href="https://agentmods.dev/skills/ifuryst/aifi/earnings-call-analysis"><img src="https://agentmods.dev/badge/skills/ifuryst/aifi/earnings-call-analysis/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/ifuryst/aifi/earnings-call-analysis"><img src="https://agentmods.dev/badge/skills/ifuryst/aifi/earnings-call-analysis.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 | $0.00053 | $0.00343 |
| Opus 5 | $0.00026 | $0.00171 |
| Sonnet 5 | $0.00011 | $0.00069 |
| Haiku 4.5 | $0.00005 | $0.00034 |
Grade A, and why
earnings-call-analysis 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.
What it actually says
Earnings Call Analysis
Use this skill to understand what management said, what analysts challenged, and how guidance or tone changed. Treat the call as evidence, not as truth.
Workflow
- Load the target profile and existing earnings archive.
- Collect the earnings release, presentation, transcript, and replay notes when available.
- Extract headline results, guidance, segment commentary, and management priorities.
- Analyze the Q&A separately from prepared remarks.
- Compare current language to prior calls when a trend or surprise matters.
- Save the analysis under
research/targets/<target>/evidence/earnings/. - Hand off numerical metrics to financial snapshot and strategic claims to thesis synthesis.
Read references/call-analysis-checklist.md before writing an earnings note.
Output
Return:
- earnings event inventory
- management message summary
- analyst Q&A pressure points
- guidance changes and uncertainty labels
- language shifts versus prior calls
- archive files created or updated
- handoffs to financials, risks, and thesis
Quality Gate
Before finishing:
- label prepared remarks, Q&A, and agent interpretation separately
- preserve event date, fiscal period, and source
- avoid treating management optimism as confirmed fact
- mark missing transcript or missing prior-period comparison
- keep long transcript quotes out of generated artifacts unless brief and needed
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.
- 9d ago First seen · 47 lines · 53 tokens per session scan A 4f2fa2483477
earnings-call-analysis is a skill published in the GitHub repository iFurySt/aifi (22 stars, last pushed 1mo ago), licensed MIT. It adds 53 tokens to every session and 343 once invoked, about $0.0003 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.
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