AI Slop Code RIsk Monitor

anthropics/claude-for-legal

A suite of plugins for legal workflows

13.5 Moderate pattern signal View on GitHub

Maintenance and Governance Review

This report summarizes scanner evidence for anthropics/claude-for-legal, a Python project with 9,640 GitHub stars. SynthScan examined 49,436 lines of code across 298 source files, recording 390 pattern matches distributed across 7 syntactic categories. The legacy adjusted pattern signal is 13.5 (Moderate pattern signal); it is not an authorship estimate.

Use the findings to ask whether maintainers can explain intent, verify dependencies, simplify unnecessary scaffolding, and focus review effort. Risk Payload v1 adds ownership, supply-chain, over-engineering, and review-effort vectors when available. These are prompts for human verification, not probabilities, security findings, or measured maintenance costs.

13.5
Adjusted Signal
13.5
Raw Pattern Score
100%
Time Factor
2026-09-29
Last Push
9.6K
Stars
Python
Language
49.4K
Lines of Code
298
Files
390
Pattern Hits
2026-10-12
Scan Date
0.00
HC Hit Rate

Risk Review · v3

Use each vector to guide manual verification of the underlying findings.

Cognitive Ownership Risk 47.9/100 · MEDIUM

Can maintainers explain intent, assumptions, and trade-offs? 382 finding(s).

Hallucinated Dependency & Supply Chain Risk 0.2/100 · LOW

Are imports declared and package/API names verified? 2 finding(s).

Agent Over-Engineering Ratio 1.8/100 · LOW

Are wrappers, guards, and repeated structures necessary? 6 finding(s).

PR Review Velocity Impact 38.1/100 · MEDIUM

Which changes need focused human review? 390 finding(s).

What These Metrics Mean

Adjusted Signal
Legacy pattern score normalized per 1,000 scanned lines and multiplied by the repository-level time factor. It is not an estimate of AI authorship.
Raw Pattern Score
Sum of severity- and context-weighted pattern findings before applying the time factor.
Time Factor
A coarse multiplier based on repository last-push metadata. It does not identify when individual code was written.
Pattern Hits
Count of configured pattern findings. Review each location and surrounding code before acting.
HC Hit Rate
High- and critical-severity findings per scanned file. Severity is a configured detector weight, not proof of a vulnerability or authorship.
Lines / Files
Scan coverage denominators used by the legacy normalized score.

Pattern-Signal History

This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.

Severity Breakdown

Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.

CRITICAL 0HIGH 1MEDIUM 40LOW 349

Directory Score Breakdown

This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.

Pattern Findings

The scanner identified 390 distinct pattern matches across 7 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.

Structural Annotation Overuse336 hits · 540 pts
SeverityFileLineSnippetContext
LOWlaw-student/skills/exam-forecast/SKILL.md47### Step 1: IntakeCOMMENT
LOWlaw-student/skills/exam-forecast/SKILL.md58### Step 2: Read each past examCOMMENT
LOWlaw-student/skills/exam-forecast/SKILL.md70### Step 3: Cross-exam pattern analysisCOMMENT
LOWlaw-student/skills/exam-forecast/SKILL.md88### Step 4: Forecast for the upcoming examCOMMENT
LOWlaw-student/skills/exam-forecast/SKILL.md144### Step 5: Output locationCOMMENT
LOW⚡law-student/skills/legal-writing/SKILL.md49### Step 1: Read the whole draftCOMMENT
LOW⚡law-student/skills/legal-writing/SKILL.md53### Step 2: Identify the structural typeCOMMENT
LOW⚡law-student/skills/legal-writing/SKILL.md62### Step 3: Structured feedback (no rewriting)COMMENT
LOWlaw-student/skills/legal-writing/SKILL.md125### Step 4: If the student asks you to rewriteCOMMENT
LOWlaw-student/skills/legal-writing/SKILL.md136### Step 5: Track patternsCOMMENT
LOW⚡law-student/skills/irac-practice/SKILL.md51### Step 1: Establish what we're gradingCOMMENT
LOW⚡law-student/skills/irac-practice/SKILL.md60### Step 2: Read the answer closelyCOMMENT
LOW⚡law-student/skills/irac-practice/SKILL.md70### Step 3: Structured feedbackCOMMENT
LOWlaw-student/skills/irac-practice/SKILL.md142### Step 4: Track patternsCOMMENT
LOW⚡law-student/skills/socratic-drill/SKILL.md40### Step 1: Pick the topicCOMMENT
LOW⚡law-student/skills/socratic-drill/SKILL.md44### Step 2: AskCOMMENT
LOW⚡law-student/skills/socratic-drill/SKILL.md50### Step 3: Listen and push backCOMMENT
LOWlaw-student/skills/socratic-drill/SKILL.md75### Step 4: Only after they get thereCOMMENT
LOW⚡law-student/skills/outline-builder/SKILL.md80### Step 1: InputsCOMMENT
LOW⚡law-student/skills/outline-builder/SKILL.md89### Step 2: StructureCOMMENT
LOW⚡law-student/skills/outline-builder/SKILL.md95### Step 3: Build — scaffold first, content from sourcesCOMMENT
LOWlaw-student/skills/outline-builder/SKILL.md133### Step 4: GapsCOMMENT
LOWlaw-student/skills/study-plan/SKILL.md53### Step 1: What are we planning forCOMMENT
LOWlaw-student/skills/study-plan/SKILL.md65### Step 2: Inputs — one at a time, wait for eachCOMMENT
LOWlaw-student/skills/study-plan/SKILL.md109### Step 3: Build the scheduleCOMMENT
LOWlaw-student/skills/study-plan/SKILL.md127### Step 4: Write itCOMMENT
LOWlaw-student/skills/study-plan/SKILL.md189### Step 5: Confirm with the studentCOMMENT
LOWlaw-student/skills/cold-call-prep/SKILL.md49### Step 1: Identify the reading + professorCOMMENT
LOWlaw-student/skills/cold-call-prep/SKILL.md56### Step 2: Predict the questionsCOMMENT
LOWlaw-student/skills/cold-call-prep/SKILL.md91### Step 3: DrillCOMMENT
LOWlaw-student/skills/cold-call-prep/SKILL.md102### Step 4: Post-drill summaryCOMMENT
LOWemployment-legal/skills/termination-review/SKILL.md46### Step 1: The basic factsCOMMENT
LOWemployment-legal/skills/termination-review/SKILL.md57### Step 2: High-risk flag scanCOMMENT
LOWemployment-legal/skills/termination-review/SKILL.md116### Step 3: Jurisdiction-specific requirementsCOMMENT
LOWemployment-legal/skills/termination-review/SKILL.md139### Step 4: Severance and releaseCOMMENT
LOWemployment-legal/skills/termination-review/SKILL.md166### Step 5: Documentation checkCOMMENT
LOWemployment-legal/skills/wage-hour-qa/SKILL.md44### Step 1: JurisdictionCOMMENT
LOWemployment-legal/skills/wage-hour-qa/SKILL.md52### Step 2: Research the rule, then state itCOMMENT
LOWemployment-legal/skills/wage-hour-qa/SKILL.md166### Step 3: The flagCOMMENT
LOW⚡employment-legal/skills/handbook-updates/SKILL.md28### Step 1: Get the changeCOMMENT
LOW⚡employment-legal/skills/handbook-updates/SKILL.md34### Step 2: Diff against currentCOMMENT
LOW⚡employment-legal/skills/handbook-updates/SKILL.md43### Step 3: Find cross-referencesCOMMENT
LOW⚡employment-legal/skills/handbook-updates/SKILL.md53### Step 4: State supplement impactCOMMENT
LOW⚡employment-legal/skills/handbook-updates/SKILL.md61### Step 5: Promise checkCOMMENT
LOWemployment-legal/skills/policy-drafting/SKILL.md36### Step 1: Scope the policyCOMMENT
LOWemployment-legal/skills/policy-drafting/SKILL.md42### Step 2: Jurisdictional scanCOMMENT
LOWemployment-legal/skills/policy-drafting/SKILL.md60### Step 3: Draft the core policyCOMMENT
LOWemployment-legal/skills/policy-drafting/SKILL.md73### Step 4: State supplementsCOMMENT
LOWemployment-legal/skills/policy-drafting/SKILL.md88### Step 5: Cross-checkCOMMENT
LOWemployment-legal/skills/hiring-review/SKILL.md46### Step 1: JurisdictionCOMMENT
LOWemployment-legal/skills/hiring-review/SKILL.md58### Step 2: ClassificationCOMMENT
LOWemployment-legal/skills/hiring-review/SKILL.md76### Step 3: Restrictive covenantsCOMMENT
LOWemployment-legal/skills/hiring-review/SKILL.md104### Step 4: Jurisdiction-specific requirementsCOMMENT
LOWemployment-legal/skills/hiring-review/SKILL.md123### Step 5: Offer letter contentCOMMENT
LOWip-legal/skills/takedown/SKILL.md81### Step 1: Identify the copyrighted workCOMMENT
LOWip-legal/skills/takedown/SKILL.md92### Step 2: Identify the infringing material and its locationCOMMENT
LOWip-legal/skills/takedown/SKILL.md103### Step 3: Fair-use gateCOMMENT
LOWip-legal/skills/takedown/SKILL.md120### Step 4: Good-faith beliefCOMMENT
LOWip-legal/skills/takedown/SKILL.md133### Step 5: Accuracy and agent authorityCOMMENT
LOWip-legal/skills/takedown/SKILL.md141### Step 6: Draft the noticeCOMMENT
276 more matches not shown…
Modern AI Meta-Vocabulary34 hits · 90 pts
SeverityFileLineSnippetContext
MEDIUMREADME.md153scripts/ # deploy-managed-agent.sh · validate.py · orchestrate.py · lint-tool-scope.py · test-cookbooksCODE
MEDIUMREADME.md202**Start by connecting a research tool.** Everything else is better with one, and citations are unverified without one. SCODE
MEDIUMCONTRIBUTING.md14## Design principle: SKILL.md encodes the right behavior; CLAUDE.md guardrailsCOMMENT
MEDIUMCLAUDE.md23scripts/ # validate.py, lint-tool-scope.py, orchestrate.py,CODE
MEDIUMlaw-student/CLAUDE.md116## Shared guardrailsCOMMENT
MEDIUMlaw-student/skills/case-brief/SKILL.md64## The brief — scaffold, then the student fillsCOMMENT
MEDIUM⚡law-student/skills/outline-builder/SKILL.md95### Step 3: Build — scaffold first, content from sourcesCOMMENT
MEDIUMemployment-legal/CLAUDE.md141## Shared guardrailsCOMMENT
MEDIUMip-legal/CLAUDE.md152## Shared guardrailsCOMMENT
MEDIUMcommercial-legal/CLAUDE.md317## Shared guardrailsCOMMENT
MEDIUMcommercial-legal/skills/nda-review/SKILL.md20Before producing output, check where it's going. If the user has named a destination (a channel, a distribution list, a CODE
MEDIUMcommercial-legal/skills/stakeholder-summary/SKILL.md21Before producing output, check where it's going. If the user has named a destination (a channel, a distribution list, a CODE
MEDIUM…mmercial-legal/skills/vendor-agreement-review/SKILL.md21Before producing output, check where it's going. If the user has named a destination (a channel, a distribution list, a CODE
MEDIUMproduct-legal/CLAUDE.md152## Shared guardrailsCOMMENT
MEDIUMproduct-legal/skills/launch-review/SKILL.md34Before producing output, check where it's going. If the user has named a destination (a channel, a distribution list, a CODE
MEDIUMproduct-legal/skills/is-this-a-problem/SKILL.md33Before producing output, check where it's going. If the user has named a destination (a channel, a distribution list, a CODE
MEDIUMlegal-builder-hub/CLAUDE.md93## Shared guardrailsCOMMENT
MEDIUMlitigation-legal/CLAUDE.md180## Shared guardrailsCOMMENT
MEDIUMlitigation-legal/CLAUDE.md368The canonical column maps to the cross-plugin severity floor described in `## Shared guardrails` below.CODE
MEDIUMlitigation-legal/skills/deposition-prep/SKILL.md30Before producing output, check where it's going. If the user has named a destination (a channel, a distribution list, a CODE
MEDIUMlitigation-legal/skills/claim-chart/SKILL.md239## Patent-mode guardrails (in addition to shared guardrails)COMMENT
MEDIUMlitigation-legal/skills/claim-chart/SKILL.md335## Civil-mode guardrails (in addition to shared guardrails)COMMENT
MEDIUMlitigation-legal/skills/claim-chart/SKILL.md441## Shared guardrails — checklistCOMMENT
MEDIUMcorporate-legal/CLAUDE.md146## Shared guardrailsCOMMENT
MEDIUMai-governance-legal/CLAUDE.md303## Shared guardrailsCOMMENT
MEDIUMprivacy-legal/CLAUDE.md236## Shared guardrailsCOMMENT
MEDIUMprivacy-legal/skills/use-case-triage/SKILL.md36Before producing output, check where it's going. If the user has named a destination (a channel, a distribution list, a CODE
MEDIUMprivacy-legal/skills/pia-generation/SKILL.md42Before producing output, check where it's going. If the user has named a destination (a channel, a distribution list, a CODE
MEDIUMprivacy-legal/skills/pia-generation/SKILL.md67**Carry severity from upstream as a floor** per the cross-skill severity floor rule in `~/.claude/plugins/config/claude-CODE
MEDIUMprivacy-legal/skills/dpa-review/SKILL.md63**Carry severity from the upstream output as a floor** per the cross-skill severity floor rule in `~/.claude/plugins/conCODE
MEDIUMlegal-clinic/CLAUDE.md239## Shared guardrailsCOMMENT
MEDIUMlegal-clinic/skills/client-intake/SKILL.md174*Every statutory, ordinance, regulatory, rule, or case citation in this section carries a provenance tag (see plugin CLACOMMENT
MEDIUMregulatory-legal/CLAUDE.md173## Shared guardrailsCOMMENT
MEDIUMregulatory-legal/skills/policy-redraft/SKILL.md31## Hard guardrails — read these firstCOMMENT
Decorative Section Separators6 hits · 18 pts
SeverityFileLineSnippetContext
MEDIUMlitigation-legal/matters/_log.yaml9# ──────────────────────────────────────────────────────────────────────────COMMENT
MEDIUMlitigation-legal/matters/_log.yaml11# ──────────────────────────────────────────────────────────────────────────COMMENT
MEDIUMlitigation-legal/matters/_log.yaml62# ──────────────────────────────────────────────────────────────────────────COMMENT
MEDIUMlegal-clinic/deadlines.yaml10# ──────────────────────────────────────────────────────────────────────────COMMENT
MEDIUMlegal-clinic/deadlines.yaml12# ──────────────────────────────────────────────────────────────────────────COMMENT
MEDIUMlegal-clinic/deadlines.yaml30# ──────────────────────────────────────────────────────────────────────────COMMENT
Over-Commented Block11 hits · 11 pts
SeverityFileLineSnippetContext
LOW…kills/renewal-tracker/references/renewal-register.yaml1# Renewal RegisterCOMMENT
LOW…kills/renewal-tracker/references/renewal-register.yaml21# business_owner: "jane@company.com"COMMENT
LOWlegal-builder-hub/references/allowlist-default.yaml1# Default allowlist for legal-builder-hubCOMMENT
LOWlitigation-legal/matters/_log.yaml1# Portfolio Ledger — litigation-legalCOMMENT
LOWlitigation-legal/matters/_log.yaml21# stage: string — free-text substage (e.g., "pleadings", "fact discovery")COMMENT
LOWlitigation-legal/matters/_log.yaml41# business_lead: string | nullCOMMENT
LOWscripts/deploy-managed-agent.sh1#!/usr/bin/env bashCOMMENT
LOW.github/workflows/cla.yaml21 if: github.event_name == 'pull_request_target' || contains(github.event.comment.body, 'recheck') || contains(gitCOMMENT
LOWlegal-clinic/deadlines.yaml1# Clinic deadline ledger — legal-clinicCOMMENT
LOWlegal-clinic/deadlines.yaml21# timezone: string (optional; default from CLAUDE.md jurisdiction)COMMENT
LOW…-legal/skills/gap-surfacer/references/gap-tracker.yaml1# Gap TrackerCOMMENT
AI Response Leakage1 hit · 5 pts
SeverityFileLineSnippetContext
HIGHai-governance-legal/skills/use-case-triage/SKILL.md148The APPROVED / CONDITIONAL / NOT APPROVED buckets, the red-line definitions, and the CONDITIONAL required-controls list CODE
Fake / Example Data1 hit · 1 pts
SeverityFileLineSnippetContext
LOWlitigation-legal/skills/matter-intake/SKILL.md251 counterparty: "Acme Corp"CODE
Unused Imports1 hit · 1 pts
SeverityFileLineSnippetContext
LOWscripts/lint-tool-scope.py20CODE