See docs/prs/2026-10-05-PR#16-colors-by-certainty.md.
Replaces PR#15: dangerous paths give YELLOW, not ORANGE.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
RED is a certain finding, ORANGE a probably real one, YELLOW a dangerous change without a finding.
Jev rates each medium or high model finding; low findings and the model's recommendation are hints.
Size limits give YELLOW, only lost or disabled tests block, and mixed is AI-approvable.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
YELLOW test changes are not purely additive: tests/fakes.py:231 changes an existing test line, tests/test_change_kinds.py:10 changes an existing test line, tests/test_change_kinds.py:47 changes an existing test line and 59 more
YELLOW change kind 'mixed' (main code, tests, other files, docs); AI-approvable are only: docs only, tests only added, docs and tests, refactoring with unchanged tests, feature with purely additive tests, harmless files only, mechanical changes only
YELLOW risky paths changed: .werkrevisor.toml (built in), config/hsadmin-ng.toml (config/), config/werkprobe.toml (config/) and 1 more
YELLOW the changed .werkrevisor.toml uses settings unknown to the installed werkrevisor 0.14.0: [categories] auto_approvable 'mixed'; deploy a version that knows them right after the merge, or every review will end with ERROR
YELLOW 9 changed files were given to the AI only as diff, not in full, so it could not check them against the rest of their file (all full files together would exceed [review] max_full_files_chars = 120000): tests/test_flow.py, tests/test_verdict.py, tests/test_writing.py and 6 more
YELLOW no AI review: the PR needs 114594 input tokens (73931 counted with o200k_base × [model] token_count_factor = 1.55), more than the limit of 80000 derived from [budget] max_usd_per_review = 0.40
18 of 19 units passed all questions (1 PR document(s)).
8 answers ignored because of a confidence below [classifier] min_confidence.
Usage: model `openrouter/anthropic/claude-sonnet-5.5`, LLM skipped (too large), tokens counted before the call 114594, duration 6.4 s, no model call, cost 0 USD, classifier `jev-1.13.0` calls 19, tokens in 16837, cost 0.0007 USD, config: defaults + host + repository (.werkrevisor.toml at base e8b256e).
Reviewed head `80d20df6f47b8dc5504bb9240740fb1e9898647a` against base `e8b256ef92ad88780065ce295ababfe9e188e826`, werkrevisor 0.14.0.
<!-- werkrevisor:80d20df6f47b8dc5504bb9240740fb1e9898647a -->
<!-- werkrevisor-verdict:YELLOW -->
## 🟡 werkrevisor: YELLOW / HUMAN_REVIEW
Change kind: `mixed`.
### Reasons
- **YELLOW** test changes are not purely additive: tests/fakes.py:231 changes an existing test line, tests/test_change_kinds.py:10 changes an existing test line, tests/test_change_kinds.py:47 changes an existing test line and 59 more
- **YELLOW** change kind 'mixed' (main code, tests, other files, docs); AI-approvable are only: docs only, tests only added, docs and tests, refactoring with unchanged tests, feature with purely additive tests, harmless files only, mechanical changes only
- **YELLOW** risky paths changed: .werkrevisor.toml (built in), config/hsadmin-ng.toml (config/**), config/werkprobe.toml (config/**) and 1 more
- **YELLOW** the changed .werkrevisor.toml uses settings unknown to the installed werkrevisor 0.14.0: [categories] auto_approvable 'mixed'; deploy a version that knows them right after the merge, or every review will end with ERROR
- **YELLOW** spec: docs/prs/2026-10-05-PR#16-colors-by-certainty.md Scenario#16.03 implementation_details (0.63 > yellow_above = 0.6)
- **YELLOW** 9 changed files were given to the AI only as diff, not in full, so it could not check them against the rest of their file (all full files together would exceed [review] max_full_files_chars = 120000): tests/test_flow.py, tests/test_verdict.py, tests/test_writing.py and 6 more
- **YELLOW** no AI review: the PR needs 114594 input tokens (73931 counted with o200k_base × [model] token_count_factor = 1.55), more than the limit of 80000 derived from [budget] max_usd_per_review = 0.40
### Classifier
| Unit | Question | Problem | Confidence | Verdict |
|---|---|---|---|---|
| docs/prs/2026-10-05-PR#16-colors-by-certainty.md Scenario#16.03 | implementation_details | 0.63 | – | YELLOW |
18 of 19 units passed all questions (1 PR document(s)).
8 answers ignored because of a confidence below [classifier] min_confidence.
<sub>
Usage: model `openrouter/anthropic/claude-sonnet-5.5`, LLM skipped (too large), tokens counted before the call 114594, duration 6.4 s, no model call, cost 0 USD, classifier `jev-1.13.0` calls 19, tokens in 16837, cost 0.0007 USD, config: defaults + host + repository (.werkrevisor.toml at base e8b256e).<br>
Reviewed head `80d20df6f47b8dc5504bb9240740fb1e9898647a` against base `e8b256ef92ad88780065ce295ababfe9e188e826`, werkrevisor 0.14.0.
</sub>
ai-reviewer
requested review from mi 2026-10-05 21:38:35 +02:00
YELLOW test changes are not purely additive: tests/fakes.py:231 changes an existing test line, tests/test_change_kinds.py:10 changes an existing test line, tests/test_change_kinds.py:47 changes an existing test line and 62 more
YELLOW change kind 'mixed' (main code, tests, other files, docs); AI-approvable are only: docs only, tests only added, docs and tests, refactoring with unchanged tests, feature with purely additive tests, harmless files only, mechanical changes only
YELLOW risky paths changed: .werkrevisor.toml (built in), config/hsadmin-ng.toml (config/), config/werkprobe.toml (config/) and 1 more
YELLOW the changed .werkrevisor.toml uses settings unknown to the installed werkrevisor 0.14.0: [categories] auto_approvable 'mixed'; deploy a version that knows them right after the merge, or every review will end with ERROR
YELLOW 11 changed files were given to the AI only as diff, not in full, so it could not check them against the rest of their file (all full files together would exceed [review] max_full_files_chars = 120000): tests/test_flow.py, tests/test_verdict.py, tests/test_writing.py and 8 more
YELLOW no AI review: the PR needs 121226 input tokens (78210 counted with o200k_base × [model] token_count_factor = 1.55), more than the limit of 80000 derived from [budget] max_usd_per_review = 0.40
19 of 20 units passed all questions (1 PR document(s)).
9 answers ignored because of a confidence below [classifier] min_confidence.
Usage: model `openrouter/anthropic/claude-sonnet-5.5`, LLM skipped (too large), tokens counted before the call 121226, duration 6.8 s, no model call, cost 0 USD, classifier `jev-1.13.0` calls 20, tokens in 17914, cost 0.0008 USD, config: defaults + host + repository (.werkrevisor.toml at base e8b256e).
Reviewed head `efe6b5a6bc5ccc4de69d4a2d18a97f97cadadf45` against base `e8b256ef92ad88780065ce295ababfe9e188e826`, werkrevisor 0.14.0.
<!-- werkrevisor:efe6b5a6bc5ccc4de69d4a2d18a97f97cadadf45 -->
<!-- werkrevisor-verdict:YELLOW -->
## 🟡 werkrevisor: YELLOW / HUMAN_REVIEW
Change kind: `mixed`.
### Reasons
- **YELLOW** test changes are not purely additive: tests/fakes.py:231 changes an existing test line, tests/test_change_kinds.py:10 changes an existing test line, tests/test_change_kinds.py:47 changes an existing test line and 62 more
- **YELLOW** change kind 'mixed' (main code, tests, other files, docs); AI-approvable are only: docs only, tests only added, docs and tests, refactoring with unchanged tests, feature with purely additive tests, harmless files only, mechanical changes only
- **YELLOW** risky paths changed: .werkrevisor.toml (built in), config/hsadmin-ng.toml (config/**), config/werkprobe.toml (config/**) and 1 more
- **YELLOW** the changed .werkrevisor.toml uses settings unknown to the installed werkrevisor 0.14.0: [categories] auto_approvable 'mixed'; deploy a version that knows them right after the merge, or every review will end with ERROR
- **YELLOW** spec: docs/prs/2026-10-05-PR#16-colors-by-certainty.md Scenario#16.03 implementation_details (0.61 > yellow_above = 0.6)
- **YELLOW** 11 changed files were given to the AI only as diff, not in full, so it could not check them against the rest of their file (all full files together would exceed [review] max_full_files_chars = 120000): tests/test_flow.py, tests/test_verdict.py, tests/test_writing.py and 8 more
- **YELLOW** no AI review: the PR needs 121226 input tokens (78210 counted with o200k_base × [model] token_count_factor = 1.55), more than the limit of 80000 derived from [budget] max_usd_per_review = 0.40
### Classifier
| Unit | Question | Problem | Confidence | Verdict |
|---|---|---|---|---|
| docs/prs/2026-10-05-PR#16-colors-by-certainty.md Scenario#16.03 | implementation_details | 0.61 | – | YELLOW |
19 of 20 units passed all questions (1 PR document(s)).
9 answers ignored because of a confidence below [classifier] min_confidence.
<sub>
Usage: model `openrouter/anthropic/claude-sonnet-5.5`, LLM skipped (too large), tokens counted before the call 121226, duration 6.8 s, no model call, cost 0 USD, classifier `jev-1.13.0` calls 20, tokens in 17914, cost 0.0008 USD, config: defaults + host + repository (.werkrevisor.toml at base e8b256e).<br>
Reviewed head `efe6b5a6bc5ccc4de69d4a2d18a97f97cadadf45` against base `e8b256ef92ad88780065ce295ababfe9e188e826`, werkrevisor 0.14.0.
</sub>
YELLOW test changes are not purely additive: tests/fakes.py:231 changes an existing test line, tests/test_change_kinds.py:10 changes an existing test line, tests/test_change_kinds.py:47 changes an existing test line and 62 more
YELLOW change kind 'mixed' (main code, tests, other files, docs); AI-approvable are only: docs only, tests only added, docs and tests, refactoring with unchanged tests, feature with purely additive tests, harmless files only, mechanical changes only
YELLOW risky paths changed: .werkrevisor.toml (built in), config/hsadmin-ng.toml (config/), config/werkprobe.toml (config/) and 1 more
YELLOW the changed .werkrevisor.toml uses settings unknown to the installed werkrevisor 0.14.0: [categories] auto_approvable 'mixed'; deploy a version that knows them right after the merge, or every review will end with ERROR
YELLOW 11 changed files were given to the AI only as diff, not in full, so it could not check them against the rest of their file (all full files together would exceed [review] max_full_files_chars = 120000): tests/test_flow.py, tests/test_rules.py, tests/test_writing.py and 8 more
YELLOW no AI review: the PR needs 120598 input tokens (77805 counted with o200k_base × [model] token_count_factor = 1.55), more than the limit of 80000 derived from [budget] max_usd_per_review = 0.40
Classifier
20 of 20 units passed all questions (1 PR document(s)).
8 answers ignored because of a confidence below [classifier] min_confidence.
Usage: model `openrouter/anthropic/claude-sonnet-5.5`, LLM skipped (too large), tokens counted before the call 120598, duration 7.0 s, no model call, cost 0 USD, classifier `jev-1.13.0` calls 20, tokens in 17910, cost 0.0008 USD, config: defaults + host + repository (.werkrevisor.toml at base e8b256e).
Reviewed head `d2c42cb810196cb9c6430c718f34a9c57b15a40e` against base `e8b256ef92ad88780065ce295ababfe9e188e826`, werkrevisor 0.14.0.
<!-- werkrevisor:d2c42cb810196cb9c6430c718f34a9c57b15a40e -->
<!-- werkrevisor-verdict:YELLOW -->
## 🟡 werkrevisor: YELLOW / HUMAN_REVIEW
Change kind: `mixed`.
### Reasons
- **YELLOW** test changes are not purely additive: tests/fakes.py:231 changes an existing test line, tests/test_change_kinds.py:10 changes an existing test line, tests/test_change_kinds.py:47 changes an existing test line and 62 more
- **YELLOW** change kind 'mixed' (main code, tests, other files, docs); AI-approvable are only: docs only, tests only added, docs and tests, refactoring with unchanged tests, feature with purely additive tests, harmless files only, mechanical changes only
- **YELLOW** risky paths changed: .werkrevisor.toml (built in), config/hsadmin-ng.toml (config/**), config/werkprobe.toml (config/**) and 1 more
- **YELLOW** the changed .werkrevisor.toml uses settings unknown to the installed werkrevisor 0.14.0: [categories] auto_approvable 'mixed'; deploy a version that knows them right after the merge, or every review will end with ERROR
- **YELLOW** 11 changed files were given to the AI only as diff, not in full, so it could not check them against the rest of their file (all full files together would exceed [review] max_full_files_chars = 120000): tests/test_flow.py, tests/test_rules.py, tests/test_writing.py and 8 more
- **YELLOW** no AI review: the PR needs 120598 input tokens (77805 counted with o200k_base × [model] token_count_factor = 1.55), more than the limit of 80000 derived from [budget] max_usd_per_review = 0.40
### Classifier
20 of 20 units passed all questions (1 PR document(s)).
8 answers ignored because of a confidence below [classifier] min_confidence.
<sub>
Usage: model `openrouter/anthropic/claude-sonnet-5.5`, LLM skipped (too large), tokens counted before the call 120598, duration 7.0 s, no model call, cost 0 USD, classifier `jev-1.13.0` calls 20, tokens in 17910, cost 0.0008 USD, config: defaults + host + repository (.werkrevisor.toml at base e8b256e).<br>
Reviewed head `d2c42cb810196cb9c6430c718f34a9c57b15a40e` against base `e8b256ef92ad88780065ce295ababfe9e188e826`, werkrevisor 0.14.0.
</sub>
mi
merged commit c50ad05877 into main2026-10-05 21:51:50 +02:00
mi
deleted branch claude-code/color-semantics2026-10-05 21:51:50 +02:00
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
See docs/prs/2026-10-05-PR#16-colors-by-certainty.md.
Replaces PR#15: dangerous paths give YELLOW, not ORANGE.
🤖 Generated with Claude Code
🟡 werkrevisor: YELLOW / HUMAN_REVIEW
Change kind:
mixed.Reasons
Classifier
18 of 19 units passed all questions (1 PR document(s)).
Usage: model `openrouter/anthropic/claude-sonnet-5.5`, LLM skipped (too large), tokens counted before the call 114594, duration 6.4 s, no model call, cost 0 USD, classifier `jev-1.13.0` calls 19, tokens in 16837, cost 0.0007 USD, config: defaults + host + repository (.werkrevisor.toml at base8 answers ignored because of a confidence below [classifier] min_confidence.
e8b256e).Reviewed head `80d20df6f47b8dc5504bb9240740fb1e9898647a` against base `e8b256ef92ad88780065ce295ababfe9e188e826`, werkrevisor 0.14.0.
🟡 werkrevisor: YELLOW / HUMAN_REVIEW
Change kind:
mixed.Reasons
Classifier
19 of 20 units passed all questions (1 PR document(s)).
Usage: model `openrouter/anthropic/claude-sonnet-5.5`, LLM skipped (too large), tokens counted before the call 121226, duration 6.8 s, no model call, cost 0 USD, classifier `jev-1.13.0` calls 20, tokens in 17914, cost 0.0008 USD, config: defaults + host + repository (.werkrevisor.toml at base9 answers ignored because of a confidence below [classifier] min_confidence.
e8b256e).Reviewed head `efe6b5a6bc5ccc4de69d4a2d18a97f97cadadf45` against base `e8b256ef92ad88780065ce295ababfe9e188e826`, werkrevisor 0.14.0.
🟡 werkrevisor: YELLOW / HUMAN_REVIEW
Change kind:
mixed.Reasons
Classifier
20 of 20 units passed all questions (1 PR document(s)).
Usage: model `openrouter/anthropic/claude-sonnet-5.5`, LLM skipped (too large), tokens counted before the call 120598, duration 7.0 s, no model call, cost 0 USD, classifier `jev-1.13.0` calls 20, tokens in 17910, cost 0.0008 USD, config: defaults + host + repository (.werkrevisor.toml at base8 answers ignored because of a confidence below [classifier] min_confidence.
e8b256e).Reviewed head `d2c42cb810196cb9c6430c718f34a9c57b15a40e` against base `e8b256ef92ad88780065ce295ababfe9e188e826`, werkrevisor 0.14.0.