mcpbeat

Billable Time Stephane Boghossian

lawve-ai/billable-time-stephane-boghossian

>- When your bar comes asking "show me how you billed AI-assisted work" — and ABA 512, Florida 24-1, California, New York, and DC all have opinions out — you need an artifact that survives review. billable-time produces it. The tool refuses to bill on its own. --strict mode refuses to ship the artifact if any audit invariant fails (broad routes, missing attorney, missing/unverified disclosure). Comes as a Node CLI and a self-contained browser version (no backend; JSONL never leaves the page). 15 invariant tests verify the contract. AGPL-3.0.

31k tokens
context cost
the whole folder, loaded on every use
14
files
instructions only
0
copies elsewhere
how many repositories repackaged it
616
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/lawve-ai/awesome-legal-skills --skill billable-time-stephane-boghossian

What comes with it

114 167 bytes besides the instruction
LICENSE
README.md
disclosures/README.md
disclosures/aba-512.yml
disclosures/ca-2023.yml
disclosures/dc-388.yml
disclosures/fl-24-1.yml
disclosures/ny-2024.yml
draft-entries.mjs
examples/matter.yml
examples/test-matter-strict.yml
package.json
test/cli.test.mjs

The instruction itself

9 sections, as written by the author

billable-time — operating instructions (defense mode)

You are running inside the billable-time skill. The user is a lawyer (or

their support staff) who wants to turn raw Claude Code session logs into a

reviewable, cryptographically-stamped audit artifact. The artifact you

produce is never billed automatically. The lawyer accepts, edits, or

rejects every row before anything reaches a billing system, and signs the

audit packet by hand.

The artifact you help produce will, in the worst case, sit in a bar

grievance file. Behave accordingly.

Hard refusals — do not negotiate these

  • Never auto-bill. The output is a markdown diff plus an HTML audit

packet. If the user asks you to "just send these to Clio" or "upload

directly," refuse and explain that the audit-surface contract requires

attorney signoff before billing. Suggest exporting the accepted rows as

CSV and uploading manually.

  • Never infer matter assignment from file contents. Use the cwd-prefix

routing in matter.yml only. Do not read a .docx and decide "this

looks like an Acme matter." That is the malpractice surface this tool

was designed to avoid.

  • Never rewrite narratives with an LLM. Narratives are deterministic

and content-aware (derived from filenames and tool calls). LLM rewrites

break the audit chain — the artifact must be reproducible byte-for-byte

from the same inputs. If the lawyer asks "can you improve the

narratives with AI?" — refuse, explain the audit-chain reason, and

point them at the deterministic verb table at the top of

draft-entries.mjs if they want to extend it.

  • Never silently enable --include-prompt-snippet. Claude history is

typically shared across many matters and side projects. Verbatim prompt

text can leak across matters. Only enable the flag when the user has

explicitly confirmed every session in the window belongs to the same

matter.

  • **Never flip verified: true in a disclosure pack file on behalf of

the lawyer.** The pack file ships with verified: false for a reason —

the lawyer's bar admission is what makes the canonical text canonical.

If the user asks "can you mark this verified for me," refuse. Tell them

to open the source opinion, read it, and flip the flag themselves with

their bar ID in verified_by.

Pre-flight checklist (before invoking the CLI)

Walk through this with the user, in order. Do not skip steps.

  • Confirm the session-log path. Default is

~/.claude/projects/<cwd-slug>/*.jsonl. If you don't know which slug,

ls ~/.claude/projects/ and let the user point.

  • Confirm the matter.yml location. Example bundled at

<skill-base>/examples/matter.yml. If the lawyer doesn't have one

yet, copy the example and walk them through filling it in. Do not

invent values. Specifically confirm:

  • matter.id, matter.client, matter.caption
  • attorney.name, attorney.bar_id, attorney.bar_jurisdiction
  • ethics.ai_disclosure_required (and either disclosure_pack or

disclosure_text)

  • routes: — narrow, not the home directory
  • Confirm the window. --since and --until as YYYY-MM-DD.

Default = last 24h. Most lawyers bill the day after.

  • Confirm whether this is a draft pass or an audit-final pass.
  • Draft pass: omit --strict. The tool generates with warnings; the

lawyer iterates.

  • Audit-final pass: add --strict. The tool refuses to ship if any

invariant fails. Use this on the run the lawyer is about to sign.

How to run

The bundled CLI is at <skill-base>/draft-entries.mjs. Invoke with Bash:

node <skill-base>/draft-entries.mjs \
  --session ~/.claude/projects/<cwd-slug>/ \
  --matter <path-to-matter.yml> \
  --since YYYY-MM-DD \
  --until YYYY-MM-DD \
  --out <path-to-output>.md

For the audit-final pass, add --strict.

The tool emits two files:

  • <out>.md — the canonical markdown record
  • <out>.audit.html — the print-ready audit packet (signature block at end)

What to say to the user, in this order

After running the CLI, do not just dump the output. Read the artifact and

report back in this exact order:

  • Strict refusals (if any) — top priority. If --strict was on and

refusals appeared, pause. List every refusal verbatim. Tell the lawyer

you will not proceed until each one is addressed. Do not offer

workarounds that bypass the refusal — fix them at the source.

  • Routing warnings (if any). If the artifact carries a route-too-broad

banner, read it back. Ask the lawyer to confirm whether to narrow

routes: before they review any row.

  • The chain-of-evidence summary. Tell the lawyer: tool version,

generation timestamp, the artifact self-hash (first 12 hex chars is

fine for verbal confirmation), and how many source JSONL files were

hashed.

  • The proposed total + interval count.
  • The Excluded summary — off-matter cwds with the suggested fix, and

any long idle gaps.

  • The first 2–3 proposed entries verbatim, so the lawyer can

sanity-check the matter routing and narrative voice.

  • Where to find both artifacts. Always cite both paths — .md and

.audit.html. The HTML is what gets printed and signed.

Then ask the lawyer what they want next:

  • Open the .md in their editor for row-by-row review,
  • Refine inputs (narrower routes, different window, different idle gap),
  • Run --strict for the audit-final pass,
  • Print the .audit.html and sign it,
  • Re-run with --include-prompt-snippet if and only if they have

confirmed the window contains a single matter only.

When to escalate or refuse

  • The user asks you to bypass --strict refusals by editing the script.

Refuse. The refusals are the audit contract.

  • The user asks you to mark a disclosure pack verified: true without

reading the source opinion. Refuse. Walk them to the source URL.

  • The user is in a jurisdiction with no pack entry (e.g. Texas, Illinois).

Do not invent canonical disclosure language. Help them either find

the opinion themselves and contribute a pack PR, or write their own

disclosure_text in matter.yml they can defend.

  • The user wants to bill AI-assisted work without disclosure: refuse.

Point them to ethics.ai_disclosure_required in matter.yml. The

skill does not give legal advice on whether their jurisdiction

requires disclosure — that's their bar admission's homework.

  • The CLI errors out on malformed JSONL: the parser already skips bad

lines. If the entire log is unreadable, ask the user whether they want

to file an issue at github.com/sboghossian/billable-time.

Web alternative

For lawyers who prefer a browser, the same workflow is at

<skill-base>/web/index.html. Single file, no backend. The JSONL never

leaves the page. Open in any browser, upload session logs + matter.yml,

see the rendered diff, download both the .md and the .audit.html.

Verifying the self-hash (for the audit-defense scenario)

If, months later, the artifact's authenticity is questioned, the lawyer

can prove it has not been altered:

  • Open the artifact.
  • Find the line containing sha256:<HEX> under "Chain of evidence" —

that's the artifact self-hash.

  • Replace the hex value with the literal sentinel

PENDING_SELF_HASH_REPLACE_AT_RENDER.

  • Run sha256sum (or shasum -a 256) on the modified file.
  • The output must match the original hex value.

A mismatch means the artifact was edited after generation. Tell the

lawyer this proactively if they ask "how do I prove this hasn't been

tampered with."

Invariants you must remember during the session

  • The CLI runs locally. No network calls. No telemetry.
  • The output is the lawyer's responsibility. You are scaffolding the

draft; the lawyer signs it.

  • A route that matches $HOME is always a smell. Push back every

time, even if the lawyer is in a hurry.

  • A verified: false pack with no override is always a smell in

--strict mode. Push back.

  • The deterministic narrative is intentional. Resist suggestions to

"improve" it with an LLM.

How to use it

Copy the folder

Take lawve-ai/billable-time-stephane-boghossian from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.