dennisthiessenandClaude Opus 5
a0ec2fedb5
Scout run 2026-09-04 (36 companies, 778 eligible) plus the NVIDIA package it surfaced, and the tooling and policy fixes found along the way. Application - NVIDIA Senior DevOps Engineer, Zurich (JR2024256): submitted 2026-09-05. Evidence Fit 64/100 Stretch, hard gate FAIL x2, channel Weak. Sent on an explicit user override with the working model unresolved, so hybrid-vs-onsite is a live screening topic. 2pp resume + 1pp cover letter, both validators PASS, 0 boxes, 0 Tier 1 findings open. Policy - Drop the 7 Core / 2 Adjacent / 1 Stretch cohort caps. They had no derivation and were overridden whenever they bound, and the cohort was confounded: it tested fit class while holding channel constant at Weak across all six applications. Keep the recording, drop the rationing. - Channel replaces the slot budget as the rationed variable: no application goes out cold when a named contact is published and reachable. - Propagated through shared_ops, session_file_template, cohort_tracker (counts, never counts-against-a-target) and application_cohort.json. Tool fixes - fetch_workday emitted 404 URLs for every Workday company (NVIDIA, Novartis, Equinor): externalPath is site-relative and needs the locale + site prefix. 6/6 short-form 404, 3/3 long-form 200. 773 dead links repaired across 42 archived reports. - find_decision_url silently de-linked decisions on two boards, which is why ruled-out roles kept resurfacing as undecided. RUAG rotates its UUID on repost; BIS migrated its vacancy URL scheme, orphaning 5 decisions including a live application. Fixed as a two-tier match, not a slug key -- slugs collide (two live RUAG reqs shared one). Knowledge base - claims.json: add Bash / shell scripting, the third canonical gap of this shape after Ansible and Linux administration. - bundle_data_platform: BS-4 was framed as a delivered observability stack over what claims.json calls a proof of concept -- the defect the 2026-08-21 sweep was told to look for. - CLAUDE.md and AGENTS.md: correct the RUAG Data Lakehouse shortlist claim, which the JD does not support and which both files still asserted. - resume_template: comment-guard the missing babel/ngerman language block. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01QFb8tTCig5r1KzkQiNXcYt
82 lines
3.0 KiB
Python
82 lines
3.0 KiB
Python
#!/usr/bin/env python3
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"""Record and summarize the controlled ten-application cohort."""
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from __future__ import annotations
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import argparse
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import json
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from pathlib import Path
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ROOT = Path(__file__).resolve().parents[2]
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TRACKER = ROOT / "job_scout" / "state" / "application_cohort.json"
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FIT_CLASSES = ("core", "adjacent", "stretch")
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CHANNELS = ("strong", "moderate", "weak")
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def load() -> dict:
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return json.loads(TRACKER.read_text(encoding="utf-8"))
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def save(data: dict) -> None:
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TRACKER.write_text(json.dumps(data, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
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def summary(data: dict) -> None:
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applications = data["applications"]
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# Slot caps were dropped 2026-09-05 (application_strategy.md). This is a record, not a
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# budget: report counts, never counts-against-a-target, so nothing reads as a remaining slot.
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print(f"Application record: {data['cohort_id']} ({len(applications)} applications)")
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for fit_class in FIT_CLASSES:
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count = sum(item["fit_class"] == fit_class for item in applications)
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print(f" {fit_class}: {count}")
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for channel in CHANNELS:
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count = sum(item["channel"] == channel for item in applications)
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print(f" channel {channel}: {count}")
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outcomes: dict[str, int] = {}
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for item in applications:
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outcome = item.get("outcome", "open")
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outcomes[outcome] = outcomes.get(outcome, 0) + 1
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print(" outcomes: " + ", ".join(f"{key}={value}" for key, value in sorted(outcomes.items())))
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def main() -> None:
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parser = argparse.ArgumentParser()
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subparsers = parser.add_subparsers(dest="command", required=True)
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subparsers.add_parser("summary")
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add = subparsers.add_parser("add")
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add.add_argument("--company", required=True)
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add.add_argument("--role", required=True)
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add.add_argument("--date", required=True)
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add.add_argument("--fit-class", choices=FIT_CLASSES, required=True)
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add.add_argument("--evidence-fit", type=float, required=True)
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add.add_argument("--channel", choices=CHANNELS, required=True)
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add.add_argument("--hard-gate", choices=("pass", "fail"), required=True)
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add.add_argument("--outcome", default="open")
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args = parser.parse_args()
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data = load()
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if args.command == "add":
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if len(data["applications"]) >= 10:
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raise SystemExit("cohort already contains ten applications")
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if args.hard_gate == "fail" and args.fit_class != "stretch":
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raise SystemExit("a hard-gate failure must be recorded as stretch")
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data["applications"].append(
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{
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"company": args.company,
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"role": args.role,
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"application_date": args.date,
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"fit_class": args.fit_class,
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"evidence_fit": args.evidence_fit,
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"hard_gate": args.hard_gate,
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"channel": args.channel,
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"outcome": args.outcome,
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}
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)
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save(data)
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summary(data)
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if __name__ == "__main__":
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main()
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