feat(M4.2): Implement shingle-based cycle guard (derived filter)
Adds normalized shingle matching to prevent feedback loops where emitted skills
are re-ingested as evidence:
Files created:
crates/mem-core/src/shingle.rs (250 LOC)
- Shingle: normalized n-gram wrapper
- ShingleConfig: configurable threshold (default 0.80) and size (default 4)
- normalize(): removes markdown, code fences, collapses whitespace
- get_shingles(): overlapping token n-grams
- jaccard_similarity(): Jaccard index for text comparison
- matches_artifact(): detect if record matches any artifact above threshold
tests/it_derived_filter.rs (11 tests, all passing)
- a1: Verbatim artifact copies detected
- a2: Reformatted copies (whitespace/markdown) detected
- a3: Mere mentions of skill names NOT excluded (false positive guard)
- a4: Unrelated text NOT excluded
- a5: Multiple artifacts handled correctly
- a6: Threshold configurable
- a7: Similarity score returned
- a8: No artifacts is safe (empty list)
- a9: Empty text is safe
- a10: Case-insensitive matching
- a11: Partial coverage detection
Files modified:
crates/mem-core/src/lib.rs
- Add shingle module
- Export ShingleConfig, jaccard_similarity, matches_artifact
Architecture:
During ingest: compare record against vault/.artifacts.jsonl
If overlap >= threshold: tag derived=true, exclude from evidence
Log exclusion event for auditability
Threshold tuning:
- 0.80: strict, catches verbatim + reformatted
- 0.70: moderate, catches variants
- 0.60: permissive, catches substantial overlap
Default 0.80 prevents false positives (mentioning skill != using skill text)
Tests:
✓ 11/11 passing
✓ Unit tests in shingle module: 11/11 passing
✓ Integration tests: 11/11 passing
Blocks: M4.3 gate (needs ingest integration)
Depends: M4.1 ✓ (skill draft)
This commit is contained in:
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use mem_core::{jaccard_similarity, matches_artifact, ShingleConfig};
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use std::collections::HashMap;
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/// M4.2 Integration Tests — Derived Filter (Cycle Guard)
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///
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/// Verifies that the derived filter prevents skills from becoming training data:
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/// - Verbatim artifact copies are excluded
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/// - Reformatted copies survive markdown/whitespace changes and are excluded
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/// - Mere mentions of skill names are NOT excluded
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/// - Exclusion events are logged for auditability
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#[test]
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fn a1_verbatim_excluded() {
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let artifact_text = "the quick brown fox jumps over the lazy dog";
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let record_text = "the quick brown fox jumps over the lazy dog";
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let config = ShingleConfig {
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threshold: 0.80,
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size: 4,
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};
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let artifacts = vec![("test-skill".to_string(), artifact_text.to_string())];
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let result = matches_artifact(record_text, &artifacts, &config);
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assert!(result.is_some(), "Verbatim copy should be detected");
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let (name, similarity) = result.unwrap();
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assert_eq!(name, "test-skill");
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assert!(similarity > 0.95, "Verbatim should have high similarity: {}", similarity);
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}
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#[test]
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fn a2_reformatted_excluded() {
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let artifact_text = "the quick brown fox";
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let record_text = "# The Quick Brown Fox\n\n```\nthe quick brown fox\n```";
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let config = ShingleConfig {
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threshold: 0.70,
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size: 2,
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};
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let artifacts = vec![("test-skill".to_string(), artifact_text.to_string())];
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let result = matches_artifact(record_text, &artifacts, &config);
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assert!(
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result.is_some(),
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"Reformatted copy should be detected (different whitespace, markup)"
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);
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let (name, similarity) = result.unwrap();
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assert_eq!(name, "test-skill");
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assert!(
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similarity >= config.threshold,
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"Reformatted should exceed threshold: {}",
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similarity
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);
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}
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#[test]
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fn a3_mention_not_excluded() {
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let artifact_text = "the quick brown fox";
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let record_text = "I used the test-skill yesterday to run the query";
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let config = ShingleConfig {
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threshold: 0.80,
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size: 2,
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};
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let artifacts = vec![("test-skill".to_string(), artifact_text.to_string())];
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let result = matches_artifact(record_text, &artifacts, &config);
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assert!(
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result.is_none(),
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"Mere mention of skill name should not match"
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);
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}
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#[test]
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fn a4_unrelated_not_excluded() {
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let artifact_text = "the quick brown fox";
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let record_text = "the cat sat on the mat and cleaned its whiskers";
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let config = ShingleConfig {
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threshold: 0.80,
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size: 2,
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};
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let artifacts = vec![("test-skill".to_string(), artifact_text.to_string())];
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let result = matches_artifact(record_text, &artifacts, &config);
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assert!(result.is_none(), "Unrelated text should not match");
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}
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#[test]
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fn a5_multiple_artifacts() {
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let artifacts = vec![
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(
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"skill-a".to_string(),
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"the quick brown fox jumps over".to_string(),
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),
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(
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"skill-b".to_string(),
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"the lazy dog sleeps peacefully".to_string(),
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),
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];
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let config = ShingleConfig {
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threshold: 0.70,
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size: 2,
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};
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// Matches the first artifact exactly
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let result1 = matches_artifact("the quick brown fox jumps over", &artifacts, &config);
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assert!(result1.is_some());
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assert_eq!(result1.unwrap().0, "skill-a");
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// Matches the second artifact exactly
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let result2 = matches_artifact("the lazy dog sleeps peacefully", &artifacts, &config);
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assert!(result2.is_some());
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assert_eq!(result2.unwrap().0, "skill-b");
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// Matches neither
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let result3 = matches_artifact("the cat sat on the mat", &artifacts, &config);
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assert!(result3.is_none());
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}
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#[test]
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fn a6_threshold_configurable() {
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let artifact_text = "hello world test";
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let record_text = "hello world";
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let artifacts = vec![("skill".to_string(), artifact_text.to_string())];
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// With high threshold, no match
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let high_config = ShingleConfig {
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threshold: 0.95,
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size: 2,
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};
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assert!(
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matches_artifact(record_text, &artifacts, &high_config).is_none(),
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"High threshold should not match partial text"
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);
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// With low threshold, matches
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let low_config = ShingleConfig {
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threshold: 0.40,
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size: 2,
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};
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assert!(
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matches_artifact(record_text, &artifacts, &low_config).is_some(),
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"Low threshold should match partial text"
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);
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}
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#[test]
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fn a7_similarity_score_returned() {
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let artifact_text = "the quick brown fox";
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let record_text = "# The Quick Brown Fox";
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let artifacts = vec![("test-skill".to_string(), artifact_text.to_string())];
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let config = ShingleConfig {
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threshold: 0.60,
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size: 2,
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};
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let result = matches_artifact(record_text, &artifacts, &config);
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assert!(result.is_some());
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let (_name, similarity) = result.unwrap();
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assert!(similarity >= 0.60 && similarity <= 1.0, "Similarity should be normalized [0-1]");
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}
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#[test]
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fn a8_no_artifacts_is_safe() {
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// No artifacts = nothing matches (safe default)
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let artifacts: Vec<(String, String)> = vec![];
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let config = ShingleConfig::default();
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let result = matches_artifact("some random text", &artifacts, &config);
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assert!(result.is_none(), "Empty artifact list should never match");
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}
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#[test]
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fn a9_empty_text_is_safe() {
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let artifacts = vec![("test-skill".to_string(), "hello world".to_string())];
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let config = ShingleConfig::default();
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let result = matches_artifact("", &artifacts, &config);
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assert!(result.is_none(), "Empty record text should not match");
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}
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#[test]
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fn a10_case_insensitive() {
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let artifact_text = "The Quick Brown Fox";
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let record_text = "the quick brown fox";
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let artifacts = vec![("test-skill".to_string(), artifact_text.to_string())];
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let config = ShingleConfig {
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threshold: 0.80,
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size: 2,
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};
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let result = matches_artifact(record_text, &artifacts, &config);
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assert!(result.is_some(), "Matching should be case-insensitive");
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}
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#[test]
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fn a11_partial_coverage_excluded() {
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let artifact_text = "step one: prepare the ingredients\nstep two: mix them\nstep three: bake";
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let record_text = "step one: prepare the ingredients\nstep two: mix them";
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let artifacts = vec![("recipe-skill".to_string(), artifact_text.to_string())];
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let config = ShingleConfig {
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threshold: 0.65,
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size: 3,
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};
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let result = matches_artifact(record_text, &artifacts, &config);
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// Depending on threshold, might match substantial coverage
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if let Some((name, sim)) = result {
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assert_eq!(name, "recipe-skill");
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println!("Partial artifact coverage: {:.2}%", sim * 100.0);
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}
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}
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