feat(clone): classify autolens_assistant's free-tier chat surface (#189)

autolens_assistant gains a chat surface for free-tier browser users
(PyAutoLabs/autolens_assistant#107). Its new files are unclassified in the
reference profile, so the boundary check fails and every future birth would
be blocked — the exact failure this profile exists to prevent.

Place them on the seam:

- `AGENTS_CHAT.md` -> generic. It is the chat-mode counterpart of `AGENTS.md`
  (same skeleton, shell-dependent rules removed), so it clones on identical
  terms — name substitution only.
- `llms-chat.txt`, `FREE_TIER_SETUP.md` -> mixed, alongside `llms.txt`. The
  per-platform setup mechanics clone verbatim; the worked prompts and dataset
  names are domain.
- `chat_pack/*` -> domain, and added to `scaffold_dirs`. It is generated by
  concatenating `al_*` skill bodies, `wiki/core/` pages and a snapshot of the
  lensing stack's API surface — every input is domain, so a newborn must
  regenerate it via `make chat-bundle` rather than copy this one.

The generator itself (`autoassistant/chat_bundle.py`) needs no entry: it is
already generic under `autoassistant/*`.

Verified: check_boundary.py against the paired branch reports
`boundary complete — generic 59 · domain 312 · mixed 91`.


Claude-Session: https://claude.ai/code/session_01AbbSTnUxkWgAuoiBTv8Uhb

Co-authored-by: Claude <noreply@anthropic.com>

Author: Jammy2211

agents/conductors/clone/_clone.py

@@ -53,6 +53,9 @@
     "AGENTS.md", "CLAUDE.md", "LICENSE", ".gitignore", ".gitattributes",
     "Makefile", "__init__.py", "activate.sh", "version.txt",
     "AI_POLICY.md", "CITATIONS.md", "CODE_OF_CONDUCT.md", "CONTRIBUTING.md",
+    "AGENTS_CHAT.md",             # chat-mode counterpart of AGENTS.md: the same
+                                  # skeleton with the shell-dependent rules cut,
+                                  # so it clones on the same terms as AGENTS.md
     "modes/*",                    # Teacher/Assistant mode machinery
     "skills/_style.md", "skills/_bootstrap_skill.md", "skills/README.md",
     "skills/start-new-project*", "skills/contribute-upstream*",
@@ -87,6 +90,10 @@
 
 _SHARED_MIXED = [
     "llms.txt", "llms-full.txt",
+    "llms-chat.txt",              # generated paste bundle: same seam as llms.txt
+    "FREE_TIER_SETUP.md",         # per-platform chat setup — the platform
+                                  # mechanics clone verbatim, the worked prompts
+                                  # and dataset names are domain
     "config/*",
     "benchmarks/README.md",       # protocol generic, benchmark table domain
 ]
@@ -117,10 +124,15 @@
             "wiki/literature/*",          # a shipped lensing paper corpus
             "paper/*",                    # this assistant's own JOSS paper
             "scripts/*.py",               # bundled science scripts (a named lens)
+            # Generated chat knowledge pack: concatenated al_* skill bodies +
+            # wiki/core pages + a snapshot of the lensing stack's API surface.
+            # Every input is domain, so a newborn regenerates it from its own
+            # content (`make chat-bundle`) rather than copying this one.
+            "chat_pack/*",
             *_SHARED_DOMAIN,
         ],
         "mixed": _SHARED_MIXED,
-        "scaffold_dirs": ["wiki/core", "wiki/literature", "dataset", "hpc"],
+        "scaffold_dirs": ["wiki/core", "wiki/literature", "dataset", "hpc", "chat_pack"],
     },
     # The domain-agnostic base: `af_*` inference skills and the *statistics*
     # `wiki/core/` are GENERIC infrastructure kept verbatim; only the example