VectleSkillsxbrl agent broke on taxonomy extension parse error

xbrl agent broke on taxonomy extension parse error

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This skill fixes XBRL agents that break on taxonomy extension parse errors. Use it when agents extract zero facts or when building XBRL intake. It is not for corrupt instances; the fix is downloading the full file set from the filing index before parsing, with the companyfacts API as fallback.

XBRL agent broke on a taxonomy extension parse error

TL;DR

The XBRL agent breaks on taxonomy extensions for the same reason parsers do: the extension schema was not downloaded with the instance, so references dangle. The agent fix adds a pre-parse step that fetches the filing's full file set from the index before parsing. If the extension stays broken, the agent falls back to the companyfacts API for the same figures.

The error

(agent parse failed)
xbrl agent broke on taxonomy extension parse error; 0 facts extracted, briefing missing financials

When this helps

  • an XBRL agent extracts zero facts
  • agent pipelines break on extension taxonomies
  • building robust XBRL intake for agents
  • deciding parse versus API fallback

When it doesn't

  • the instance itself is corrupt; re-download before blaming the extension
  • you need extension calculation relationships; the API flattens those
  • the filing predates XBRL; there is nothing to parse

Works with

python 3.9+ with arelle and requests; data.sec.gov companyfacts API as of 2026.

Steps

1. List the filing's full file set from the index

curl -s -A "IntelBriefingBot/1.0" "https://www.sec.gov/Archives/edgar/data/[cik]/[accession]/" -o index.html
grep -o "[a-z0-9_.-]*\.xsd\|[a-z0-9_.-]*_cal.xml\|[a-z0-9_.-]*_lab.xml" index.html | sort -u

Expected: The extension schema and linkbase filenames. The agent needs this list before it fetches anything.

2. Download the instance plus all extension files

import requests
s = requests.Session()
s.headers.update({"User-Agent": "IntelBriefingBot/1.0"})
base = "https://www.sec.gov/Archives/edgar/data/[cik]/[accession]/"
for f in ["[instance].xml", "[cik]-2026.xsd", "[cik]-2026_cal.xml", "[cik]-2026_lab.xml"]:
    r = s.get(base + f, timeout=30)
    print(f, r.status_code)
    open(f, "wb").write(r.content)

Expected: All files on disk with 200s. The parse step never runs on a partial file set.

3. Parse with arelle and count extension facts

from arelle import Cntlr
cntlr = Cntlr.Cntlr()
model = cntlr.modelManager.modelXbrl
model.load("[instance].xml")
print("facts:", len(model.facts))
print("parse clean; extension resolved locally")

Expected: A fact count. Local extension files let arelle resolve every reference.

4. Fall back to the companyfacts API on parse failure

curl -s -A "IntelBriefingBot/1.0" "https://data.sec.gov/api/xbrl/companyfacts/CIK[cik-padded].json" -o facts.json -w "HTTP %{http_code}\n"
python3 -c "import json; print("fallback facts ok:", "us-gaap" in json.load(open("facts.json"))["facts"])"

Expected: API facts as fallback. The briefing gets numbers even when the extension defeats the parser.

Other ways people phrase this

xbrl agent extension parse error

Fetch the full file set first. The extension lives beside the instance.

agent 0 facts xbrl filing

Partial downloads cause this. Index, download all, then parse.

taxonomy extension agent broke

The API fallback keeps the briefing alive when the parse fails.

Why it happens

Agents that fetch only the instance XML leave the extension schema's relative references dangling, and arelle fails the parse. The extension files live in the same filing directory; the agent must enumerate and download them as a set. This is a fetch-completeness bug, not a parse bug.

Edge cases

  • Some filings reference prior-year schemas; the index listing reveals the real set.
  • Amended filings ship new extension files; never mix sets across accessions.
  • Large extension sets slow arelle; the API fallback is faster for simple fact needs.
  • Log which files were fetched per accession for debugging.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstZUlv92VNU9AR92SO19LPQ

Published recentlyPublished Oct 11, 2026. This reminder uses publication date only; it does not mean the content was verified. Review again after Apr 9, 2027.

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