_parse_stream_json() persisted raw tool_input/tool_response content into
ObservationEvents that grade() scores and generate_report() writes to
results/<skill>.md -- a report meant to be shared and reviewed.
--add-dir restricts the agent's additional accessible directory to the
sandbox (SANDBOX_BASE = /tmp/skill-comply-sandbox), but that doesn't stop
the agent's own tool calls (a Bash command using ~ expansion, a scenario
setup_commands entry referencing a dotfile) from emitting the operator's
home directory into tool_input/tool_response -- which then lands
verbatim, truncated but not sanitized, in the written report.
Adds _redact_home_path(), pure stdlib (Path.home()), applied to both
input_str and output_str before they're stored on the ObservationEvent.
Scoped deliberately to the home directory only -- grade() needs real
tool-call semantics for LLM-based compliance classification, so
truncating/stripping content the way a pure logging hook could isn't an
option here; only the operator-identifying path component needs to go.
New TestParseStreamJsonRedactsHomePath class in
skills/skill-comply/tests/test_runner.py (3 tests) -- full file now
10/10 passing, up from 7/7. Confirmed tests/test_invariant_runner.py (the
sandbox-execution security tests from #2149) still passes clean, 4/4.
Fixes#2730
- add Vite and Redis pattern skills from closed stale PRs
- add frontend-slides support assets
- port skill-comply runner fixes and LLM prompt/provider regressions
- harden agent frontmatter validation and sync catalog counts
haelyra