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Earnings Preview Med · agentii-ai | DecimalAI

financeby agentii-ai

Earnings Preview Med

agentii-ai/earnings-preview-med

Source agentii-ai/agentii-investment-intelligence ↗License Apache-2.0

Med-adapted earnings preview: consensus estimates, historical surprises, guidance sensitivities, and the FDA-catalyst overlay (PDUFA/AdCom/trial readouts near the print) for biotech/pharma names.

SkillScore85Maintained

Automatic

Finance & Accounting pack

Last verified 10/10/2026

What it changes

Passed 17 of 20 test cases with the skill, and 4 of 20 without it.

Without skill20%

With skill85%

Checks it passed that the model alone missed

Source links use clickable /v/ URLs.
Parameter guidance_sensitivity default value is true.
Fundamental trend data lookup calls search_xbrl_facts.

and 14 more in the full report

13 fixed4 passed either way3 still failing0 broke2 errored

Pass-rate lift: +65 pp
Tokens: +19%
Agent turns: 0%
Response time: -20%

Model gemini-3.6-flashMeasured 10/10/2026v117 of 22 cases passed with skill · 20 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/agentii-ai-earnings-preview-med/SKILL.md https://app.decimal.ai/s/agentii-ai-earnings-preview-med/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add agentii-ai-earnings-preview-med, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/agentii-ai-earnings-preview-med/ and pins it in .decimal/skills.lock

decimalai skills add agentii-ai-earnings-preview-med

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/agentii-ai-earnings-preview-med/SKILL.md https://app.decimal.ai/s/agentii-ai-earnings-preview-med/SKILL.md

Raw file: /s/agentii-ai-earnings-preview-med/SKILL.md ↗ · machine-readable summary at /s/agentii-ai-earnings-preview-med.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 13

Prompt

Connect to the ongoing live audio feed for BioNTech's (BNTX) earnings call right now and provide a real-time sentence-by-sentence translation and live summary.

What was checked, without and with the skill
Checked	Without skill	With skill
Declines real-time audio transcription and live audio streaming.	Passed	Passed
Clarifies that scope is pre-earnings setup analysis rather than live call audio streaming.	Missed	Passed

case-21 · gemini-3.6-flash · 10/10/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md125 lines3 files

Methodology inspired by publicly taught earnings-preview frameworks; all text is an original paraphrase.

Defaults

Parameter	Default Value	Rationale
surprise_window	8 quarters	Standard surprise history window
include_catalysts	true	Med prints move on catalysts as much as EPS
guidance_sensitivity	true	Guidance is the swing factor for pharma

Preflight

Run canonical pre-flight per contracts/preflight.md. Propagate X-Agentii-Trace per contracts/x-agentii-trace-header.md.

Triggers

"Preview [biotech ticker]'s upcoming earnings."
"What should I expect at [ticker]'s next print?"
"How has [ticker] surprised historically?"
"Which catalysts land near [ticker]'s earnings date?"
"Build an earnings preview with consensus estimates."
"What's the guidance risk for [ticker] this quarter?"
"Summarize the last few quarters for [ticker]."
"Earnings + FDA calendar overlap for [ticker]."
"What are the swing factors for [ticker]'s print?"
"Historical reaction to [ticker]'s earnings surprises."
"What changed in my estimates, thesis, and positioning ahead of [ticker]'s print?"

Production Grounding

Med prints have TWO drivers: financials (revenue/EPS/guidance) and catalysts (PDUFA/AdCom/readouts). The catalyst overlay is mandatory — a clean quarter can be undone by a CRL days earlier.
Every preview closes with model-vs-consensus deltas (our modeled numbers vs consensus from search_earnings_calendar, signed with the driver named) and the three what's-changed vectors (estimates / thesis / positioning) — estimates move first, thesis and positioning follow only when the facts justify them.
For pre-revenue biotechs, the print is mostly about cash runway + pipeline updates; consensus EPS is secondary.
Grounding frameworks: references/knowledge-frameworks.md (道/法 review knowledge).

Data Source Priority

search_earnings_calendar — estimates, actuals, surprise history, next date.
search_xbrl_facts — revenue/EPS/margin trends.
search_documents/read_source_* — prior-quarter commentary and guidance.

Track record

Benchmark

17 / 20

test cases passed, vs 4 / 20 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v5 — 9/15/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

agentii-ai / agentii-investment-intelligence

plugins/vertical-plugins/bio-pharm/skills/agentii/earnings-preview-med/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 9/15/2026Version v1Bundled 2 files

More skills from the same source and nearby in the registry, with their headline benchmark lift.