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skillfactor-pipeline af05383bb1 chore: v1 baseline - full 3,039-package catalog with AI-skill enrichment and O*NET backfill

Snapshot before the quality program (relevance gates, tiered mapping,
QA linter). v1 is the immutable before/after reference; evidence crawl
was at ~175/3039 occupations when tagged.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01PDKeXvpT6tENSvyQGLV1Uq

2026-07-09 05:32:49 +02:00

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Job-ad evidence — coverage report

Generated 2026-07-08 by pipeline/evidence_report.py. Re-run any time for the current state.

Coverage

Evidence status	Occupations
pending	3039
total catalog	3039

Occupations with ads in the evidence store: 1
Thin markets (fewer than 5 usable ads): 0
Failed for other reasons: 0

Volume

Metric	Value
Job ads stored	350
Distinct employers	309
Extracted entities	6,558
— responsibilities	2,502
— hard_skills	2,244
— methods	1,009
— tools	803

API budget

JSearch requests spent: 0 / 33,000 (0.0 % of the lifetime budget)
Every request is counted BEFORE the HTTP call (progress.spend_request, hard cap).

Distributions

Seniority (per ad):

Seniority	Ads
mid	133
junior	102
senior	57
n/a	31
lead	27

Country:

Country	Ads
us	308
gb	42

Top 20 occupations by ads:

Occupation	Ads
recruitment-consultant	350

Extraction engines

Engine	Ads extracted	Share	Role
Claude (in-session)	350	100.0 %	flagship package (recruitment-consultant), prompt/validator design, 2 % QA spot checks on every batch
Ollama gemma3:27b (RTX-3090 box)	0	0.0 %	mass extraction of the full catalog (`extract_local.py`, strict JSON schema, validator with final word)

Thin-market occupations (kept for transparency):

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