Port from nearai/ironclaw#6129: their sensitive-marker scrubber matched
markers as bare substrings, so tool results containing 'Secretary of the
Treasury' were scrubbed as 'secret' on replay, evicting legitimate content
and forcing the model into a re-fetch loop. Hermes' lowercase/dotted/YAML
config-key redaction patterns (_CFG_DOTTED_RE, _CFG_ANCHORED_RE,
_YAML_ASSIGN_RE) had the same false-positive class: their key classes allow
arbitrary alphanumeric affixes around the keyword, so ordinary document
text like 'Secretary: J.Smith', 'tokenizer: cl100k_base' (HF model cards),
and BibTeX 'author=Smith' got value-masked on the surfaces that run these
passes (browser snapshots, log lines, kanban summaries, CLI-echoed output).
Fix: post-match word-boundary validation of the keyword occurrence inside
the matched key. Boundaries: key edges, non-letters (_ - . digits),
camelCase transitions (clientSecret, secretKey, APIToken), plural 's'
(secrets:, tokens:). Concatenated real-world compounds keep matching via
explicit alternatives (authtoken, authkey, secretkey, accesstoken). ALL-CAPS
keys keep legacy embedded matching (MYTOKEN=...) — all-caps is almost never
prose, same rationale as _ENV_ASSIGN_RE. Same discipline the file already
applies to exact-match body/query keys (ported from ironclaw#2529) and the
deliberate 'auth' exclusion that keeps 'author:' from matching.
Teknium
b41eee450b