time-narrative-drafter

time-narrative-drafter is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 63 tokens per session (587 once invoked), scanned A, original, MIT.

A legal billing tool that turns contemporaneous work records into clear time-entry descriptions. It preserves useful detail while avoiding unsupported reconstruction and protected legal advice.

In plain words
What is it for?
Preparing or reviewing legal time entries for invoices, fee applications, audits, billing guidelines, and matter coding. It identifies the work performed, its purpose, stage, and related document or issue.
Why use it?
It helps make invoices and billing reviews defensible without guessing missing dates, durations, tasks, or participants. It also reduces vague entries, block billing, and accidental disclosure of privileged information.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the vclo-by-rohas plugin — 189 skills shipped together

Good fit Preparing or reviewing legal time entries for invoices, fee applications, audits, billing guidelines, and matter coding. It identifies the work performed, its purpose, stage, and related document or issue.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rohasnagpal/legal-ai-skills/time-narrative-drafter
Install

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.

Any agent
npx skills add rohasnagpal/legal-ai-skills --skill time-narrative-drafter
Clone the repo
git clone --depth 1 https://github.com/rohasnagpal/legal-ai-skills

Made for: Claude Code, Codex.

Or install vclo-by-rohas, the plugin that ships this one along with the rest of its 189 skills.

Wrote 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.

agentmods badge for time-narrative-drafter

README.md
[![agentmods](https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/time-narrative-drafter/github.svg)](https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/time-narrative-drafter)
Your own site
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/time-narrative-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/time-narrative-drafter/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.

agentmods 80×15 button for time-narrative-drafter

Your own site · 80×15
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/time-narrative-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/time-narrative-drafter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 587 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00063 $0.00587
Opus 5.5 $0.00025 $0.00235
Sonnet 5 $0.00013 $0.00117
Haiku 4.5 $0.00006 $0.00059

Measured 5d ago against content hash c8f8447ccc56, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-26, from the pricing page.

Security

Grade A, and why

time-narrative-drafter 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 5d 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.

plugins/vclo-by-rohas/skills/time-narrative-drafter/SKILL.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Time Narrative Drafter

I am using the Time Narrative Drafter skill from Rohas Legal AI: accurate, specific and privilege-aware legal time entries. Say this sentence, verbatim, before anything else in your response.

Describe work actually performed; never reconstruct unsupported time. Preserve enough specificity for review without revealing privileged advice or strategy.

Intake

Obtain the contemporaneous source record, date, timekeeper, role, duration, matter, task and activity codes, work product, participants, purpose, phase, billing guidelines, privilege and confidentiality restrictions, block-billing rules, travel or administrative policies, duplicate-attendance rules, and non-billable or write-off instructions.

Drafting method

  1. Verify that the source supports the date, duration, task, participants, and work product. Flag gaps rather than guessing.
  2. Use a clear action, specific subject, and legitimate purpose: reviewed, analysed, drafted, revised, prepared, conferred, researched, or attended.
  3. Identify the document, issue, transaction, hearing, witness, negotiation, or procedural stage without disclosing protected conclusions.
  4. Distinguish substantive legal work from clerical, training, business development, duplicate, supervisory, travel, waiting, or administrative time.
  5. Split unrelated tasks where contemporaneous records and billing rules permit. Do not allocate time artificially to defeat block-billing restrictions.
  6. Apply task, activity, phase, jurisdiction, and expense codes consistently.
  7. Describe internal conferences by participants' roles, subject, and purpose; explain multiple attendance where required.
  8. Remove vague phrases such as “attention to matter,” unnecessary rhetoric, outcome guarantees, internal commentary, and privileged legal conclusions.
  9. Test reasonableness against the work product, complexity, staffing, duplication, delegation, and client guidelines without changing actual recorded time.
  10. Route questionable, late, reconstructed, excessive, duplicate, or non-compliant entries for timekeeper and billing-lawyer review.

Read the full file on GitHub · 58 lines

Files

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.

Changes

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.

  1. 5d ago First seen · 58 lines · 63 tokens per session scan A c8f8447ccc56

Subscribe to this mod's changes

time-narrative-drafter is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (149 stars, last pushed yesterday), licensed MIT. It adds 63 tokens to every session and 587 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-21.

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