Files
hyperframes/skills/media-use/scripts/lib/match.mjs
WaterrrForever 4d3cdc3e4b feat(media-use): resolve official brand logos via a four-tier cascade (#2061)
* feat(media-use): resolve official brand logos via a four-tier cascade

Third-party brand logos (the meeting's 'credibility signals lost' gap)
had no acquisition path: capture only grabs the product's own site
assets, and HeyGen asset search returns generic look-alike icons for
brand queries (0/3 in testing — an X-in-a-circle for LinkedIn). Workers
could only fake a mark or drop it.

New resolve type 'logo', four tiers verified by a 54-brand stress test
(100% cascade hit across dev tools / big tech / non-tech / CN brands):

- svgl — official full-color vector SVGs + wordmark variants (40/54
  first-hits); search is substring-based, so entities pass through
  alias normalization (nextjs → 'next.js', aws → 'amazon web services')
- simple-icons (pinned CDN build) — official monochrome glyphs; catches
  the long tail (nike, visa, toyota, wechat, bytedance)
- github org avatar — known-org map only; a brand name is not a GitHub
  login, guessing risks same-named personal accounts
- domain favicon (DuckDuckGo ip3) — small-raster last resort; sub-500B
  responses are DDG's placeholder and rejected; frozen with a low_res
  provenance flag (chip-size use only)

logo joins the icon/image equivalence group (typesMatch) and the
images/ subdir, so entity cache hits interop with figma-imported marks.
A total miss falls through resolve's normal failure path — no special
casing. HeyGen search stays the icon provider; it is deliberately
absent from the logo cascade.

Docs: media-use gap/types/providers tables + example; the five
workflow banners now cover logos (catalog claim kept for media, 'from
their official sources' added for logos); product-launch story-design
and motion-graphics logo-reveal point at the new type; catalog
surfaces (CLAUDE.md / README / docs) updated in lockstep.

Verified: 19 unit tests + coverage row green; live smoke across all
four tiers (linkedin→svgl, nike→simple-icons, heygen→github.avatar,
amazon→favicon) plus a fabricated brand exiting 1 on the default miss
path. oxlint + oxfmt clean.

* test(media-use): sanction the four logo providers in the registry allowlist

svgl / simple-icons / github.avatar / favicon.ddg join the sanctioned
list — the logo cascade added in the previous commit. Full lib suite
95/95 green.

* test(media-use): gate the logo cascade behavior in CI + single-fetch favicon tier

Review follow-ups (miga-heygen, jrusso1020 on #2061):

- Eight mocked-network tests pin what the manual 54-brand stress test
  only asserted: descriptor shape, alias retry (svgl non-array payload
  → next query, simple-icons 404 → next slug), network-error → null
  fallthrough, the sub-500B placeholder rejection, github's
  no-guessing (zero fetches for unmapped entities), and the real
  cascade order landing tier by tier under a mocked network.
- faviconSearch now hands its verified bytes over as a local file, so
  the freeze step copies instead of re-downloading — one round-trip,
  and the size check is authoritative over what gets frozen.
- The header's hit counts are labeled as a stress-test snapshot, not a
  live invariant.

Full lib suite 103/103; live smoke re-verified (amazon → favicon.ddg,
frozen .ico).
2026-07-08 23:58:41 +08:00

48 lines
1.4 KiB
JavaScript

// Shared lexical-matching helpers used by both the assets/ scan (adopt.mjs) and
// the reuse-candidate ranker (candidates.mjs), and the type-equivalence check
// used by resolve.mjs and candidates.mjs. Kept in one place so the icon<->image
// equivalence and the token rules can't drift between the "do" path (resolve)
// and the "look" path (candidates).
// Common filler words that should never, on their own, make two strings match.
const MATCH_STOPWORDS = new Set([
"the",
"and",
"for",
"with",
"from",
"this",
"that",
"your",
"our",
]);
// Split into lowercased word tokens of length >= 3, minus stopwords.
export function matchTokens(text) {
return new Set(
String(text)
.toLowerCase()
.split(/[^a-z0-9]+/)
.filter((t) => t.length >= 3 && !MATCH_STOPWORDS.has(t)),
);
}
// Count of shared meaningful word tokens between two strings. 0 = no lexical
// overlap (the candidate ranker still surfaces these, ordered after overlaps).
export function tokenOverlap(a, b) {
const ta = matchTokens(a);
const tb = matchTokens(b);
let n = 0;
for (const t of ta) if (tb.has(t)) n++;
return n;
}
// icon, image, and logo are interchangeable: all live in images/, and
// figma-imported brand marks are recorded as type image while agents ask for
// logos as icon or logo.
export function typesMatch(a, b) {
if (a === b) return true;
const visual = new Set(["icon", "image", "logo"]);
return visual.has(a) && visual.has(b);
}