Agent skill

Underwriting Narrative

by mohitagw15856 in mohitagw15856/pm-claude-skills

Write the underwriting file narrative for a risk: the risk story, exposure quantification, loss-history read, mitigating and aggravating factors, terms and subjectivities rationale, appetite fit…

MITAuto-check passedBusiness, Finance & HR

Install Underwriting Narrative

skills CLI
$ npx skills add mohitagw15856/pm-claude-skills --skill underwriting-narrative -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mohitagw15856/pm-claude-skills underwriting-narrative --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/underwriting-narrative .claude/skills/underwriting-narrative && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
underwriting-narrative
GitHub stars
1.4k
Token cost
~1.4k tokens
SKILL.md length
691 words
Files
1
Skills in repo
1,348
Repo updated
First seen
Licence
MIT

At a glance

Write the underwriting file narrative for a risk: the risk story, exposure quantification, loss-history read, mitigating and aggravating factors, terms and subjectivities rationale, appetite fit…

  • Asked to write up an underwriting file
  • SKILL.md covers What This Skill Produces, Required Inputs, Narrative Framework and Output Format, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Document why were writing a risk

What it does

Underwriting Narrative is an agent skill from mohitagw15856/pm-claude-skills. Write the underwriting file narrative for a risk: the risk story, exposure quantification, loss-history read, mitigating and aggravating factors, terms and subjectivities rationale, appetite fit, and a refer-or-bind recommendation. Use when asked to write up an underwriting file, document why we're writing a risk, prepare a referral to a senior underwriter, or justify terms and exclusions on a submission. Produces a complete underwriting narrative ready for the file or referral.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering Banking and insurance. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.

When your agent uses it

  • Asked to write up an underwriting file
  • Document why were writing a risk
  • Prepare a referral to a senior underwriter
  • Justify terms and exclusions on a submission

Example prompts

  • “/underwriting-narrative”

What it can do on your machine

Read from SKILL.md and the folder at commit 1cbf1f0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Underwriting Narrative loads about 1.4k tokens when it runs. Until then it costs about 127 tokens; SKILL.md has 691 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~127
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 691 words, ~1,413 tokens.

Download SKILL.mdSave it as .claude/skills/underwriting-narrative/SKILL.md (or your agent's skills folder).
name
underwriting-narrative
description
Write the underwriting file narrative for a risk: the risk story, exposure quantification, loss-history read, mitigating and aggravating factors, terms and subjectivities rationale, appetite fit, and a refer-or-bind recommendation. Use when asked to write up an underwriting file, document why we're writing a risk, prepare a referral to a senior underwriter, or justify terms and exclusions on a submission. Produces a complete underwriting narrative ready for the file or referral.

Underwriting Narrative Skill

An underwriting file must let a peer reconstruct why the risk was written, at those terms, at that price — years later, possibly in front of an auditor or a large loss. This skill writes that narrative: the risk story, the numbers behind it, and the reasoning connecting them to the terms offered.

What This Skill Produces

  • A risk story (who the insured is, what they do, why they're buying now)
  • Exposure quantification (values at risk, limits deployed, estimated/probable maximum loss)
  • A loss-history read distinguishing frequency from severity signals
  • Mitigating and aggravating factors, weighed
  • Terms rationale — subjectivities, exclusions, deductibles, each with a reason
  • Appetite fit and a refer-or-bind recommendation

Required Inputs

Ask for what's missing; from a thin submission, proceed and mark gaps [information required before bind]:

  • The risk — insured, operations, geography, line of business
  • Exposure figures — sums insured/TIV, revenue, headcount, limits sought
  • Loss history — ideally 5 years, with dates, causes, incurred amounts, open/closed
  • Proposed terms — limit, deductible, premium, exclusions, subjectivities
  • Appetite/guidelines context — target classes, referral thresholds, if available

Narrative Framework

Risk story. Three questions: who is this insured (operations, scale, tenure), what exactly is the exposure (the loss scenarios this line responds to), and why now (new buyer, remarketing, mid-term change)? A remarketed risk needs its reason stated — price, service, or non-renewal by the incumbent are very different signals.

Exposure quantification. State total values at risk, the limit deployed against them, and an estimated maximum loss with the assumption behind it (e.g. single-site fire, top-location concentration). Limits materially above realistic maximum loss, or below it, both need a sentence.

Loss-history read. Separate the two signals:

  • Frequency (many small losses) → a process/controls problem; responds to deductibles and risk management conditions.
  • Severity (rare large losses) → a volatility/limits problem; responds to price, limit management, and exclusions. Compute a rough loss ratio against premium if figures allow. Narrate any single loss over ~20% of annual premium individually: cause, fix, recurrence risk. A clean record with low tenure is absence of data, not evidence of quality — say so.

Mitigating vs aggravating. List both columns honestly. Mitigants must be verifiable (sprinklers confirmed, not "believed"); unverified mitigants become subjectivities.

Terms rationale. Every non-standard term earns its line: each exclusion tied to an exposure you're declining to price; each subjectivity with a deadline and what happens if unmet; deductible tied to the frequency read.

Appetite fit and recommendation. In / edge-of / outside appetite, against which guideline. Recommend bind, bind subject to, refer (naming the referral trigger hit), or decline — with the one-paragraph reason.

Show full SKILL.md (274 more words)Show less

Output Format

Underwriting narrative: [insured / line / inception date]

1. Risk story — who, what, why now. 2. Exposure — table: values at risk | limit sought | EML basis | premium. 3. Loss history — frequency vs severity read, loss ratio, large-loss narratives. 4. Factors — mitigating | aggravating, two columns, weighed in a closing sentence. 5. Terms & subjectivities — each with rationale and deadline. 6. Appetite fit — guideline cited, in/edge/outside. 7. Recommendation — bind / bind subject to / refer / decline, with reason.

End with: "This narrative is analytical support, not a binding decision. Authority, referral, and bind decisions follow your organisation's underwriting guidelines and applicable regulation."

Quality Checks

  • The "why now" of the submission is answered, especially for remarketed business
  • Loss read explicitly separates frequency from severity and states which one drives terms
  • Every exclusion and subjectivity has a stated rationale; subjectivities have deadlines
  • Unverified mitigants are converted to subjectivities, not counted as credits
  • Recommendation names the specific referral trigger if referring
  • Data gaps are marked [information required before bind], not papered over

Anti-Patterns

  • Do not write a description in place of a narrative — every fact must connect to a term, a price, or the recommendation
  • Do not treat a short clean loss record as proof of good risk — label it as limited data
  • Do not list a mitigant you cannot verify without making it a subjectivity
  • Do not bury an outside-appetite feature in the middle of the file — surface it in the recommendation
  • Do not invent loss figures or survey findings — mark unknowns [to confirm]

Example Trigger Phrases

  • "Write up an underwriting file."
  • "Document why we're writing a risk."
  • "Prepare a referral to a senior underwriter."
  • "Justify terms and exclusions on a submission."

© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/underwriting-narrative of mohitagw15856/pm-claude-skills.

Open the folder on GitHubat commit 1cbf1f0

Compare with similar skills

Underwriting Narrative next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Underwriting Narrative compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Underwriting Narrative this skillmohitagw15856/pm-claude-skills1.4k—~1.4kAutomated safety check: PassMIT
Swapper Depositswapperfinance/swapper-toolkit852—~1.8kAutomated safety check: PassMIT
Okx Cex Earnokx/agent-skills1872 repos~3.3kAutomated safety check: PassMIT
Buffettdigoal/blog8.6k1 repos~2.7kAutomated safety check: PassGPL-2.0
Solana Payments Wallets Tradingnpc-live/clawfirm1561 repos~4.7kAutomated safety check: PassMIT
Oracle Flashloan Analysisquillai-network/quillshield_skills130—~2.8kAutomated safety check: PassMIT

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Questions about Underwriting Narrative

What does Underwriting Narrative do?

Write the underwriting file narrative for a risk: the risk story, exposure quantification, loss-history read, mitigating and aggravating factors, terms and subjectivities rationale, appetite fit…. Underwriting Narrative is an agent skill from mohitagw15856/pm-claude-skills. Write the underwriting file narrative for a risk: the risk story, exposure quantification, loss-history read, mitigating and aggravating factors, terms and subjectivities rationale, appetite fit, and a refer-or-bind recommendation.

When should I use Underwriting Narrative?

Underwriting Narrative fits situations like: asked to write up an underwriting file; document why were writing a risk; prepare a referral to a senior underwriter; justify terms and exclusions on a submission.

How do I install Underwriting Narrative in Claude Code?

Run `npx skills add mohitagw15856/pm-claude-skills --skill underwriting-narrative -a claude-code`. Or copy the skill folder (skills/underwriting-narrative in mohitagw15856/pm-claude-skills) into .claude/skills/underwriting-narrative in your project. Claude Code loads it when a task matches its description.

How do I install Underwriting Narrative in Codex?

Run `npx skills add mohitagw15856/pm-claude-skills --skill underwriting-narrative -a codex`. Or copy the skill folder (skills/underwriting-narrative in mohitagw15856/pm-claude-skills) into .agents/skills/underwriting-narrative in your project. Codex loads it when a task matches its description.

Can I use Underwriting Narrative in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mohitagw15856/pm-claude-skills --skill underwriting-narrative -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/underwriting-narrative, .gemini/skills/underwriting-narrative, .github/skills/underwriting-narrative and .opencode/skills/underwriting-narrative in your project.

What does Underwriting Narrative need to run?

SKILL.md names no scripts, command-line tools or credentials: Underwriting Narrative is instructions for the agent only.

Does Underwriting Narrative access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Underwriting Narrative safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Underwriting Narrative use?

Underwriting Narrative is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Underwriting Narrative use?

About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Underwriting Narrative?

Skills that share tags, products or a category with Underwriting Narrative: Swapper Deposit (swapperfinance/swapper-toolkit, 852 stars), Okx Cex Earn (okx/agent-skills, 187 stars), Buffett (digoal/blog, 8.6k stars) and Solana Payments Wallets Trading (npc-live/clawfirm, 156 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Underwriting Narrative?

mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.

Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.