5 Commits

Author SHA1 Message Date
Clayton Kim 91a99c4c9d Make the advertised Python 3.8+ floor true, and test it in CI
Insert `from __future__ import annotations` in the 17 files that use
PEP 604/585 annotations in module-level positions evaluated at import
time, so scripts/banned_phrase_scan.py and friends no longer raise
TypeError on Python 3.8/3.9. Add a 3.8 leg to the CI matrix so the
floor claim in README.md is actually gated, and correct the two
imprecise "439 deterministic cases" references to "440 deterministic
script cases (439 pass, 1 documented xfail)".

New scripts must carry the future-import until the floor is raised;
if the maintainer later chooses 3.10+, delete the CI 3.8 leg and
README claim together.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01K6CYksdLbXbTAxcAQjvHz5
2026-07-07 06:13:32 -07:00
Clayton Kim 87990359b6 Harden support scripts: unit families, magnitudes, curly quotes, faithful-rewrite fixes
- validate_preservation: unit-swap detection (km/mi, °C/°F, GB/TB, hr) with
  full alias families both directions; spelled magnitude words beyond currency;
  curly-quote tracking; range/quarter/time faithful rewordings pass while true
  swaps fail; --strict promotes semantic warnings (negation/scope/modality) to
  exit 1; modality strengthening (may->will) warned
- extract_constraints: proper-noun spans no longer glue across phrase
  boundaries; and/or no longer extracted as an /or endpoint
- readability_metrics: staccato detection sees em-dash/semicolon-joined
  fragments; sentence splitter handles closing quotes
- diff_check: pure reorder no longer excessive_change; docstring documents the
  exemption
- Rows PRES-10..27, SEM-03..07, ROB-09..11, AS-05 with paired fail guards

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-04 09:27:58 -07:00
Claude 93c79fd579 Harden scripts/runner, add CI, expand eval coverage to 35 script cases
Robustness:
- every script now exits cleanly (code 2) on a missing/unreadable input file
  instead of raising a traceback (was only fixed for validate_preservation)
- runner adds a per-case timeout and survives a missing command/crash instead
  of aborting the whole run
- gated two more context-sensitive single words behind their jargon
  collocations: "harness" (a horse harness vs "harness the power of") and
  "foster" (a foster family vs "foster a culture of")

CI:
- .github/workflows/evals.yml compiles the scripts and runs the regression
  harness on every push and PR; only an undocumented FAIL breaks the build

New eval cases (script target, all passing):
- FP-07/08 literal harness/foster; FP-09 smart-quote exemption
- REC-01/02/03 recall guards proving the gating still flags real jargon and
  stacked slop (so de-noising can't silently gut detection)
- PRES-05 comma-format equality, PRES-06 $2.4M == $2.4 million, PRES-07 dropped
  quarter is a lost fact
- ROB-04..07 missing-file robustness for each script, ROB-08 empty stdin

Suite: 53 cases (35 script: 34 PASS / 1 XFAIL / 0 FAIL, 18 behavioral skill).
2026-06-14 21:33:42 +00:00
Claude 2fb6375a23 Fix script-level defects exposed by the adversarial suite
Flips 19 of the 20 deterministic xfail cases to PASS (FP-06, literal
"delve into a place", stays xfail as an accepted regex sense-ambiguity limit).
Final: 20 PASS, 1 XFAIL, 0 FAIL.

Fact preservation (validate_preservation.py, extract_constraints.py):
- currency compares absolute magnitude, so $47.3M no longer equals $47.3 billion
- percentages require an exact token match (12% no longer matches 120%)
- dates require the month, not just the year (March 3 2020 != December 2020)
- bare integers and whole phone numbers are now tracked as constraints
- faithful rewordings ($47.3M -> $47.3 million) still pass, no false missing
- missing input files exit cleanly instead of raising a traceback

Scanner (banned_phrase_scan.py):
- removed over-broad entries: "the real" (hit "the real estate"), bare
  "period."/"full stop." (hit any sentence ending in "period")
- gated context-sensitive words (leverage, navigate, tapestry, boasts) behind
  jargon collocations so literal/financial senses aren't flagged
- added missing tells: in conclusion, firstly/secondly, underscore the
  importance, treasure trove, ever-evolving, rich mosaic, plus stop-slop's
  false-agency family (numbers speak for themselves, data tells a story)
- quote masking: dropped the 500-char cap, allowed multi-line quotes, and
  stopped masking single-quoted prose that was hiding real slop

Robustness (readability_metrics.py, diff_check.py):
- numeric-only text counts as words instead of reading as empty
- punctuation-only edits register as change instead of 0%

Kept references/taboo-phrases.md in sync with the new scanner patterns.
2026-06-14 21:25:00 +00:00
Clayton Kim 2ae9d63743 Initial commit: unslop skill for humanizing AI content
Two-pass system (diagnosis → reconstruction) with:
- Comprehensive taboo phrases reference (throat-clearing, jargon, etc.)
- 8-criteria scoring rubric (40 points max)
- 4 voice presets (crisp, warm, expert, story)
- Python validation scripts (constraints, banned phrases, readability)
- Before/after examples for articles, LinkedIn, sales content

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-08 06:38:37 -08:00