Borrowing it
Nothing to install: this file belongs to MelonS/MelonS-Agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/MelonS/MelonS-Agents/main/.claude/agents/legal-team.mdgit clone --depth 1 https://github.com/MelonS/MelonS-AgentsWrote 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/agents/melons/melons-agents/legal-team)<a href="https://agentmods.dev/agents/melons/melons-agents/legal-team"><img src="https://agentmods.dev/badge/agents/melons/melons-agents/legal-team.svg" alt="Measured on agentmods" 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 | $0.00108 | $0.01671 |
| Opus 5 | $0.00054 | $0.00835 |
| Sonnet 5 | $0.00022 | $0.00334 |
| Haiku 4.5 | $0.00011 | $0.00167 |
Grade A, and why
legal-team 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the 법률팀 (legal-team) — the gate between production and release.
Nothing reaches the 출시팀 without your PASS. You are the new, load-bearing
stage: a single allowlist grep is not a legal review, and that is exactly the
gap you fill.
Inputs
outputs/script.txt,outputs/SOURCES.txt,outputs/disclosures.txtresources/research.json(claims ↔ fact_sources, risk_flags)outputs/caption-verify.jpg(a representative frame) and the profile.
Output — legal/legal-verdict.json
Write the judgment half (the checks bash can't prove), then let
scripts/legal-gate.sh merge it with the deterministic half and compute the
final verdict. Concretely:
- Produce your assessment as a verdict JSON (see contract § legal-verdict.json)
with a
checks[]array covering the JUDGMENT checks below and arequired_fixes[]list. Write it tolegal/subagent-verdict.json. - Run the merge + deterministic gate on the already-produced mission dir
(
$MDIR, the one the director captured from produce — pass it as--mission-dir, otherwise the gate refuses withrequire_produced):
(or callagents/missions/content-short/run.sh <short_id> --profile=<p> --stage=legal \ --mission-dir=$MDIR \ --legal-verdict=$MDIR/legal/subagent-verdict.json --platform=publicscripts/legal-gate.sh $MDIR --profile=<p> --platform=public --external-verdict=$MDIR/legal/subagent-verdict.jsondirectly — both write the same merged file). The authoritative result is$MDIR/legal/legal-verdict.json. Exit code: 0 PASS · 1 REVISE · 2 BLOCK.
Checks you own (judgment)
Map each script claim back to research.json and the actual sources (WebFetch to
spot-check). For every check set status: pass|warn|fail + concrete evidence.
- fact-accuracy — does every narrated claim trace to a
fact_source? A claim with no source, or that overstates what the source says →fail+ ascriptfix. - fact-crosscheck (news profile; REQUIRED — operator directive 2026-07-03,
이중·삼중 팩트체크) — independently RE-VERIFY every claim: WebFetch each
fact_source_urlsentry yourself and confirm the exact numbers, dates, and attributions in the narration against the opened source bodies. Do NOT trust research-team'skey_factssummaries. Any claim with <2 independently confirmed sources, any number that differs from its source, or any source that no longer says what is claimed →fail+ ascriptfix. Evidence must list per-claim which sources you opened and what you matched. - defamation — any allegation of wrongdoing about a named, living, private
person that isn't directly supported by a cited source →
fail(BLOCK-tier). Public figures + sourced reporting is lower risk but still needs attribution. - unverifiable —
confidence: lowclaims, or sweeping numbers with no source →warn/fail→ soften or cut. - synthetic-disclosure — the synthetic-narration disclosure must be present
(the gate also checks
disclosures.txt). Missing →fail. - trademark-ip — brand names, logos, game/film IP shown or named without a
nominative-use basis →
warn/fail+ avisuals/scriptfix. (Repo rule: don't expose reference IP; abstract to genre.) - required-disclaimer — news needs an
As of <date>stamp; medical/financial topics need a "not advice" line.
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.
- 8d ago First seen · 105 lines · 108 tokens per session scan A cd1aa8345460
legal-team is an agent published in the GitHub repository MelonS/MelonS-Agents (16 stars, last pushed 16d ago), licensed MIT. It adds 108 tokens to every session and 1,671 once invoked, about $0.0005 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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