diff --git a/README.md b/README.md
index 0878dcd..4432c79 100644
--- a/README.md
+++ b/README.md
@@ -69,3 +69,7 @@ A broader campaign needs an explicit budget and execution environment. Project
 feedback ingestion, full wiki/API drift audits and additional publication formats
 are later extensions; the initial board provides inventory, historical results,
 provenance, freshness and next-action guidance.
+
+The optional `board_base_url` in `assistants.json` enables the shared organ
+footer for this Scientist instance. It is the hosting root, without an organ
+repository suffix; membership and order come from Brain’s board registry.
diff --git a/assistants.json b/assistants.json
index ae2b8bd..f872013 100644
--- a/assistants.json
+++ b/assistants.json
@@ -1,5 +1,6 @@
 {
   "schema_version": 1,
+  "board_base_url": "https://pyautolabs.github.io",
   "assistants": ["autocti_assistant", "autofit_assistant", "autogalaxy_assistant", "autolens_assistant"],
   "evidence_max_age_days": 30
 }
diff --git a/broca/board.py b/broca/board.py
index 5595f6d..5f0ecd3 100644
--- a/broca/board.py
+++ b/broca/board.py
@@ -37,6 +37,8 @@ def evidence_state(record, row, max_age, today=None):
 def render(root, brain):
     theme = theme_from(brain)
     cfg = config(root)
+    board_base = cfg.get("board_base_url")
+    footer = theme.boards_footer(theme.board_links(board_base, "broca"), "broca") if board_base else ""
     snapshot = load_snapshot(root)
     records = load_records(root, cfg["assistants"])
     rows = {r["assistant"]: r for r in snapshot["assistants"]}
@@ -120,5 +122,5 @@ def render(root, brain):
             '<section id="attention"><h2>Next actions</h2><ul>' + ''.join(attention) + '</ul></section>' +
             '<section id="history"><h2>Evaluation history</h2>' + table + '</section>' +
             '<section id="maintenance"><h2>Maintenance</h2><p>Committed-file inventory; these checks do not establish response quality or scientific correctness.</p><ul>' + ''.join(maintenance) + '</ul></section>' +
-            '<footer>Assistant evaluation evidence · collection age and evaluation age are separate.</footer></main><script>' + theme.JS + '</script></body></html>')
+            '<footer>Assistant evaluation evidence · collection age and evaluation age are separate.</footer>' + footer + '</main><script>' + theme.JS + '</script></body></html>')
     return theme.section_layout(page)
diff --git a/dashboard.html b/dashboard.html
index e5ab830..f83ee99 100644
--- a/dashboard.html
+++ b/dashboard.html
@@ -330,7 +330,7 @@
 
 Work on GitHub:
 - PyAutoBroca: https://github.com/PyAutoLabs/PyAutoBroca</textarea></details><div class="orchestration-freshness" data-freshness="grey"><details data-freshness-stamp data-refreshed-at="2026-10-08T12:58:48Z"><summary><span data-freshness-label>Last updated 2026-10-08 12:58:48 UTC</span></summary><time datetime="2026-10-08T12:58:48Z">2026-10-08 12:58:48 UTC</time></details><span class="muted">Update unavailable</span></div></div><p class="orchestration-status" role="status" aria-live="polite"></p></section>
-<nav class="board-nav" aria-label="Board sections"><a class="board-nav-card" href="#assistants"><span class="board-nav-count">4</span><span class="board-nav-label">Assistants</span></a><a class="board-nav-card" href="#attention"><span class="board-nav-label">Next actions</span></a><a class="board-nav-card" href="#history"><span class="board-nav-count">14</span><span class="board-nav-label">Evaluations</span></a><a class="board-nav-card" href="#maintenance"><span class="board-nav-label">Maintenance</span></a></nav><details class="board-section"><summary><h2>Assistants</h2><span class="section-badge">4</span></summary><div class="board-section-body"><section id="assistants"><div class="assistant-grid"><article class="assistant-card"><h3><a href="https://github.com/PyAutoLabs/autocti_assistant">autocti_assistant</a></h3><p><strong>Never evaluated</strong></p><dl><dt>Latest evidence day</dt><dd>No run recorded</dd><dt>Runs recorded</dt><dd>0</dd><dt>Current commit</dt><dd><code>9c37c74dcf53</code></dd><dt>Evaluated commit</dt><dd><code>None</code></dd><dt>Benchmark definitions</dt><dd>0</dd><dt>Collection</dt><dd>collected</dd></dl></article><article class="assistant-card"><h3><a href="https://github.com/PyAutoLabs/autofit_assistant">autofit_assistant</a></h3><p><strong>Never evaluated</strong></p><dl><dt>Latest evidence day</dt><dd>No run recorded</dd><dt>Runs recorded</dt><dd>0</dd><dt>Current commit</dt><dd><code>51719036ebc9</code></dd><dt>Evaluated commit</dt><dd><code>None</code></dd><dt>Benchmark definitions</dt><dd>3</dd><dt>Collection</dt><dd>collected</dd></dl><p>Local uncommitted changes are excluded from evidence.</p></article><article class="assistant-card"><h3><a href="https://github.com/PyAutoLabs/autogalaxy_assistant">autogalaxy_assistant</a></h3><p><strong>Never evaluated</strong></p><dl><dt>Latest evidence day</dt><dd>No run recorded</dd><dt>Runs recorded</dt><dd>0</dd><dt>Current commit</dt><dd><code>e317f3815d72</code></dd><dt>Evaluated commit</dt><dd><code>None</code></dd><dt>Benchmark definitions</dt><dd>4</dd><dt>Collection</dt><dd>collected</dd></dl></article><article class="assistant-card"><h3><a href="https://github.com/PyAutoLabs/autolens_assistant">autolens_assistant</a></h3><p><strong>Recorded failure</strong></p><dl><dt>Latest evidence day</dt><dd>2026-10-02</dd><dt>Runs recorded</dt><dd>14</dd><dt>Current commit</dt><dd><code>f46e296fa91a</code></dd><dt>Evaluated commit</dt><dd><code>abafd86c0419</code></dd><dt>Benchmark definitions</dt><dd>11</dd><dt>Collection</dt><dd>collected</dd></dl><p>Local uncommitted changes are excluded from evidence.</p></article></div></section></div></details><details class="board-section"><summary><h2>Next actions</h2></summary><div class="board-section-body"><section id="attention"><ul><li><strong>autocti_assistant</strong>: Add a small benchmark definition, then capture the first response-quality baseline.</li><li><strong>autofit_assistant</strong>: Select a small benchmark and capture the first response-quality baseline.</li><li><strong>autogalaxy_assistant</strong>: Select a small benchmark and capture the first response-quality baseline.</li><li><strong>autolens_assistant</strong>: Inspect the failed gates, then choose a bounded rerun or route a fix through Mind.</li></ul></section></div></details><details class="board-section"><summary><h2>Evaluation history</h2><span class="section-badge">14 Evaluations</span></summary><div class="board-section-body"><section id="history"><div class="table-scroll" role="region" aria-label="Evaluation history; scroll for more columns" tabindex="0"><table><thead><tr><th>Assistant / benchmark</th><th>Date / model</th><th>Outcome / score</th><th>Evidence / comparison</th><th>Record</th></tr></thead><tbody><tr><th scope="row">autolens_assistant<br>positions_initialised_inference</th><td>2026-10-02<br>claude-fable-5-1</td><td>failed<br>0.0</td><td>finished: no_result_json<br>No comparable baseline</td><td><code>autolens_assistant-27029aa73539e73f1163ccba</code><br>benchmarks/runs/positions_initialised_inference/2026-10-02_claude-fable-5-1_claude-code_2/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>positions_initialised_inference</th><td>2026-10-02<br>claude-fable-5-1</td><td>failed<br>0.0</td><td>finished: no_result_json<br>No comparable baseline</td><td><code>autolens_assistant-4488950192b1a049e0f1a23b</code><br>benchmarks/runs/positions_initialised_inference/2026-10-02_claude-fable-5-1_claude-code/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>forward_model_consistency</th><td>2026-10-02<br>claude-fable-5-1</td><td>failed<br>0.0</td><td>compute_budget: 159.9s &gt; 120s of compute<br>No comparable baseline</td><td><code>autolens_assistant-500ee6202cc06995b644c187</code><br>benchmarks/runs/forward_model_consistency/2026-10-02_claude-fable-5-1_claude-code/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>forward_model_consistency</th><td>2026-10-02<br>claude-fable-5-1</td><td>failed<br>0.0</td><td>finished: no_result_json<br>No comparable baseline</td><td><code>autolens_assistant-572af868558c370c52ba6f3a</code><br>benchmarks/runs/forward_model_consistency/2026-10-02_claude-fable-5-1_claude-code_2/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>forward_model_consistency</th><td>2026-10-02<br>claude-fable-5-1</td><td>failed<br>0.0</td><td>finished: no_result_json<br>No comparable baseline</td><td><code>autolens_assistant-7aefecd05b92b77f7b66c2ab</code><br>benchmarks/runs/forward_model_consistency/2026-10-02_claude-fable-5-1_claude-code_3/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>positions_initialised_inference</th><td>2026-10-02<br>claude-fable-5-1</td><td>failed<br>0.0</td><td>compute_budget: 566.2s &gt; 300s of compute<br>No comparable baseline</td><td><code>autolens_assistant-c195ddd5840081421371ba8d</code><br>benchmarks/runs/positions_initialised_inference/2026-10-02_claude-fable-5-1_claude-code_3/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>bootstrap-smoke</th><td>2026-09-26<br>claude-opus-5-5</td><td>unscored<br>97.0</td><td>Historical rubric; no explicit pass gates<br>No comparable baseline</td><td><code>autolens_assistant-8a86021d1fae71c6540269d2</code><br>benchmarks/runs/bootstrap-smoke/2026-09-26_claude-opus-5-5_claude-code/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>cosmos-web-ring-fit</th><td>2026-09-26<br>claude-sonnet-5</td><td>passed<br>100.0</td><td>—<br>No comparable baseline</td><td><code>autolens_assistant-9a09b142a7e1fbe8121cf1f1</code><br>benchmarks/runs/cosmos-web-ring-fit/2026-09-26_claude-sonnet-5_claude-code_3/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>cosmos-web-ring-fit</th><td>2026-09-26<br>claude-sonnet-5</td><td>failed<br>0.0</td><td>finished: no_result_json<br>No comparable baseline</td><td><code>autolens_assistant-a5f7166ff66fcab40d94b1c0</code><br>benchmarks/runs/cosmos-web-ring-fit/2026-09-26_claude-sonnet-5_claude-code/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>bootstrap-smoke</th><td>2026-09-26<br>gpt-5.6-sol</td><td>unscored<br>13.0</td><td>Historical rubric; no explicit pass gates<br>No comparable baseline</td><td><code>autolens_assistant-b5e1d94a22da57651811c817</code><br>benchmarks/runs/bootstrap-smoke/2026-09-26_gpt-5.6-sol_codex/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>bootstrap-smoke</th><td>2026-09-26<br>gpt-5.6-sol</td><td>unscored<br>13.0</td><td>Historical rubric; no explicit pass gates<br>No comparable baseline</td><td><code>autolens_assistant-ce32c717f0500aa36c0129eb</code><br>benchmarks/runs/bootstrap-smoke/2026-09-26_gpt-5.6-sol_codex_2/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>bootstrap-smoke</th><td>2026-09-26<br>claude-opus-5-5</td><td>unscored<br>100.0</td><td>Historical rubric; no explicit pass gates<br>No comparable baseline</td><td><code>autolens_assistant-d184c3f49eccabede5ba7066</code><br>benchmarks/runs/bootstrap-smoke/2026-09-26_claude-opus-5-5_claude-code_2/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>cosmos-web-ring-fit</th><td>2026-09-26<br>claude-sonnet-5</td><td>failed<br>0.0</td><td>finished: no_result_json<br>No comparable baseline</td><td><code>autolens_assistant-e5136be1e94ec26d6f349748</code><br>benchmarks/runs/cosmos-web-ring-fit/2026-09-26_claude-sonnet-5_claude-code_2/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>oneshot-smoke</th><td>2026-09-17<br>claude-sonnet-5</td><td>passed<br>100.0</td><td>—<br>No comparable baseline</td><td><code>autolens_assistant-71bfadcc2f2f426c96863ba2</code><br>benchmarks/runs/oneshot-smoke/2026-09-17_claude-sonnet-5_claude-code/meta.yaml</td></tr></tbody></table></div></section></div></details><details class="board-section"><summary><h2>Maintenance</h2></summary><div class="board-section-body"><section id="maintenance"><p>Committed-file inventory; these checks do not establish response quality or scientific correctness.</p><ul><li><strong>autocti_assistant</strong>: benchmark definitions: missing, benchmark runner: present, instructions: present, skills: present</li><li><strong>autofit_assistant</strong>: benchmark definitions: present, benchmark runner: present, instructions: present, skills: present</li><li><strong>autogalaxy_assistant</strong>: benchmark definitions: present, benchmark runner: present, instructions: present, skills: present</li><li><strong>autolens_assistant</strong>: benchmark definitions: present, benchmark runner: present, instructions: present, skills: present</li></ul></section></div></details><footer>Assistant evaluation evidence · collection age and evaluation age are separate.</footer></main><script>const MAX_PROMPT_CHARS = 50000;
+<nav class="board-nav" aria-label="Board sections"><a class="board-nav-card" href="#assistants"><span class="board-nav-count">4</span><span class="board-nav-label">Assistants</span></a><a class="board-nav-card" href="#attention"><span class="board-nav-label">Next actions</span></a><a class="board-nav-card" href="#history"><span class="board-nav-count">14</span><span class="board-nav-label">Evaluations</span></a><a class="board-nav-card" href="#maintenance"><span class="board-nav-label">Maintenance</span></a></nav><details class="board-section"><summary><h2>Assistants</h2><span class="section-badge">4</span></summary><div class="board-section-body"><section id="assistants"><div class="assistant-grid"><article class="assistant-card"><h3><a href="https://github.com/PyAutoLabs/autocti_assistant">autocti_assistant</a></h3><p><strong>Never evaluated</strong></p><dl><dt>Latest evidence day</dt><dd>No run recorded</dd><dt>Runs recorded</dt><dd>0</dd><dt>Current commit</dt><dd><code>9c37c74dcf53</code></dd><dt>Evaluated commit</dt><dd><code>None</code></dd><dt>Benchmark definitions</dt><dd>0</dd><dt>Collection</dt><dd>collected</dd></dl></article><article class="assistant-card"><h3><a href="https://github.com/PyAutoLabs/autofit_assistant">autofit_assistant</a></h3><p><strong>Never evaluated</strong></p><dl><dt>Latest evidence day</dt><dd>No run recorded</dd><dt>Runs recorded</dt><dd>0</dd><dt>Current commit</dt><dd><code>51719036ebc9</code></dd><dt>Evaluated commit</dt><dd><code>None</code></dd><dt>Benchmark definitions</dt><dd>3</dd><dt>Collection</dt><dd>collected</dd></dl><p>Local uncommitted changes are excluded from evidence.</p></article><article class="assistant-card"><h3><a href="https://github.com/PyAutoLabs/autogalaxy_assistant">autogalaxy_assistant</a></h3><p><strong>Never evaluated</strong></p><dl><dt>Latest evidence day</dt><dd>No run recorded</dd><dt>Runs recorded</dt><dd>0</dd><dt>Current commit</dt><dd><code>e317f3815d72</code></dd><dt>Evaluated commit</dt><dd><code>None</code></dd><dt>Benchmark definitions</dt><dd>4</dd><dt>Collection</dt><dd>collected</dd></dl></article><article class="assistant-card"><h3><a href="https://github.com/PyAutoLabs/autolens_assistant">autolens_assistant</a></h3><p><strong>Recorded failure</strong></p><dl><dt>Latest evidence day</dt><dd>2026-10-02</dd><dt>Runs recorded</dt><dd>14</dd><dt>Current commit</dt><dd><code>f46e296fa91a</code></dd><dt>Evaluated commit</dt><dd><code>abafd86c0419</code></dd><dt>Benchmark definitions</dt><dd>11</dd><dt>Collection</dt><dd>collected</dd></dl><p>Local uncommitted changes are excluded from evidence.</p></article></div></section></div></details><details class="board-section"><summary><h2>Next actions</h2></summary><div class="board-section-body"><section id="attention"><ul><li><strong>autocti_assistant</strong>: Add a small benchmark definition, then capture the first response-quality baseline.</li><li><strong>autofit_assistant</strong>: Select a small benchmark and capture the first response-quality baseline.</li><li><strong>autogalaxy_assistant</strong>: Select a small benchmark and capture the first response-quality baseline.</li><li><strong>autolens_assistant</strong>: Inspect the failed gates, then choose a bounded rerun or route a fix through Mind.</li></ul></section></div></details><details class="board-section"><summary><h2>Evaluation history</h2><span class="section-badge">14 Evaluations</span></summary><div class="board-section-body"><section id="history"><div class="table-scroll" role="region" aria-label="Evaluation history; scroll for more columns" tabindex="0"><table><thead><tr><th>Assistant / benchmark</th><th>Date / model</th><th>Outcome / score</th><th>Evidence / comparison</th><th>Record</th></tr></thead><tbody><tr><th scope="row">autolens_assistant<br>positions_initialised_inference</th><td>2026-10-02<br>claude-fable-5-1</td><td>failed<br>0.0</td><td>finished: no_result_json<br>No comparable baseline</td><td><code>autolens_assistant-27029aa73539e73f1163ccba</code><br>benchmarks/runs/positions_initialised_inference/2026-10-02_claude-fable-5-1_claude-code_2/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>positions_initialised_inference</th><td>2026-10-02<br>claude-fable-5-1</td><td>failed<br>0.0</td><td>finished: no_result_json<br>No comparable baseline</td><td><code>autolens_assistant-4488950192b1a049e0f1a23b</code><br>benchmarks/runs/positions_initialised_inference/2026-10-02_claude-fable-5-1_claude-code/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>forward_model_consistency</th><td>2026-10-02<br>claude-fable-5-1</td><td>failed<br>0.0</td><td>compute_budget: 159.9s &gt; 120s of compute<br>No comparable baseline</td><td><code>autolens_assistant-500ee6202cc06995b644c187</code><br>benchmarks/runs/forward_model_consistency/2026-10-02_claude-fable-5-1_claude-code/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>forward_model_consistency</th><td>2026-10-02<br>claude-fable-5-1</td><td>failed<br>0.0</td><td>finished: no_result_json<br>No comparable baseline</td><td><code>autolens_assistant-572af868558c370c52ba6f3a</code><br>benchmarks/runs/forward_model_consistency/2026-10-02_claude-fable-5-1_claude-code_2/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>forward_model_consistency</th><td>2026-10-02<br>claude-fable-5-1</td><td>failed<br>0.0</td><td>finished: no_result_json<br>No comparable baseline</td><td><code>autolens_assistant-7aefecd05b92b77f7b66c2ab</code><br>benchmarks/runs/forward_model_consistency/2026-10-02_claude-fable-5-1_claude-code_3/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>positions_initialised_inference</th><td>2026-10-02<br>claude-fable-5-1</td><td>failed<br>0.0</td><td>compute_budget: 566.2s &gt; 300s of compute<br>No comparable baseline</td><td><code>autolens_assistant-c195ddd5840081421371ba8d</code><br>benchmarks/runs/positions_initialised_inference/2026-10-02_claude-fable-5-1_claude-code_3/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>bootstrap-smoke</th><td>2026-09-26<br>claude-opus-5-5</td><td>unscored<br>97.0</td><td>Historical rubric; no explicit pass gates<br>No comparable baseline</td><td><code>autolens_assistant-8a86021d1fae71c6540269d2</code><br>benchmarks/runs/bootstrap-smoke/2026-09-26_claude-opus-5-5_claude-code/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>cosmos-web-ring-fit</th><td>2026-09-26<br>claude-sonnet-5</td><td>passed<br>100.0</td><td>—<br>No comparable baseline</td><td><code>autolens_assistant-9a09b142a7e1fbe8121cf1f1</code><br>benchmarks/runs/cosmos-web-ring-fit/2026-09-26_claude-sonnet-5_claude-code_3/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>cosmos-web-ring-fit</th><td>2026-09-26<br>claude-sonnet-5</td><td>failed<br>0.0</td><td>finished: no_result_json<br>No comparable baseline</td><td><code>autolens_assistant-a5f7166ff66fcab40d94b1c0</code><br>benchmarks/runs/cosmos-web-ring-fit/2026-09-26_claude-sonnet-5_claude-code/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>bootstrap-smoke</th><td>2026-09-26<br>gpt-5.6-sol</td><td>unscored<br>13.0</td><td>Historical rubric; no explicit pass gates<br>No comparable baseline</td><td><code>autolens_assistant-b5e1d94a22da57651811c817</code><br>benchmarks/runs/bootstrap-smoke/2026-09-26_gpt-5.6-sol_codex/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>bootstrap-smoke</th><td>2026-09-26<br>gpt-5.6-sol</td><td>unscored<br>13.0</td><td>Historical rubric; no explicit pass gates<br>No comparable baseline</td><td><code>autolens_assistant-ce32c717f0500aa36c0129eb</code><br>benchmarks/runs/bootstrap-smoke/2026-09-26_gpt-5.6-sol_codex_2/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>bootstrap-smoke</th><td>2026-09-26<br>claude-opus-5-5</td><td>unscored<br>100.0</td><td>Historical rubric; no explicit pass gates<br>No comparable baseline</td><td><code>autolens_assistant-d184c3f49eccabede5ba7066</code><br>benchmarks/runs/bootstrap-smoke/2026-09-26_claude-opus-5-5_claude-code_2/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>cosmos-web-ring-fit</th><td>2026-09-26<br>claude-sonnet-5</td><td>failed<br>0.0</td><td>finished: no_result_json<br>No comparable baseline</td><td><code>autolens_assistant-e5136be1e94ec26d6f349748</code><br>benchmarks/runs/cosmos-web-ring-fit/2026-09-26_claude-sonnet-5_claude-code_2/meta.yaml</td></tr><tr><th scope="row">autolens_assistant<br>oneshot-smoke</th><td>2026-09-17<br>claude-sonnet-5</td><td>passed<br>100.0</td><td>—<br>No comparable baseline</td><td><code>autolens_assistant-71bfadcc2f2f426c96863ba2</code><br>benchmarks/runs/oneshot-smoke/2026-09-17_claude-sonnet-5_claude-code/meta.yaml</td></tr></tbody></table></div></section></div></details><details class="board-section"><summary><h2>Maintenance</h2></summary><div class="board-section-body"><section id="maintenance"><p>Committed-file inventory; these checks do not establish response quality or scientific correctness.</p><ul><li><strong>autocti_assistant</strong>: benchmark definitions: missing, benchmark runner: present, instructions: present, skills: present</li><li><strong>autofit_assistant</strong>: benchmark definitions: present, benchmark runner: present, instructions: present, skills: present</li><li><strong>autogalaxy_assistant</strong>: benchmark definitions: present, benchmark runner: present, instructions: present, skills: present</li><li><strong>autolens_assistant</strong>: benchmark definitions: present, benchmark runner: present, instructions: present, skills: present</li></ul></section></div></details><footer>Assistant evaluation evidence · collection age and evaluation age are separate.</footer><ul class="boards"><li class="muted" style="padding:.3rem 0">Boards:</li><li><a data-organ="organism" href="https://pyautolabs.github.io/PyAutoScientist/">Scientist</a></li><li><a data-organ="brain" href="https://pyautolabs.github.io/PyAutoBrain/">Brain</a></li><li><a data-organ="mind" href="https://pyautolabs.github.io/PyAutoMind/">Mind</a></li><li><a data-organ="cortex" href="https://pyautolabs.github.io/PyAutoCortex/">Cortex</a></li><li><a data-organ="memory" href="https://pyautolabs.github.io/PyAutoMemory/">Memory</a></li><li><a data-organ="eyes" href="https://pyautolabs.github.io/PyAutoEyes/">Eyes</a></li><li><a data-organ="ears" href="https://pyautolabs.github.io/PyAutoEars/">Ears</a></li><li><a data-organ="heart" href="https://pyautolabs.github.io/PyAutoHeart/">Heart</a></li><li><a data-organ="hands" href="https://pyautolabs.github.io/PyAutoHands/">Hands</a></li><li><a data-organ="pulse" href="https://pyautolabs.github.io/PyAutoPulse/">Pulse</a></li><li><a data-organ="insight" href="https://pyautolabs.github.io/PyAutoInsight/">Insight</a></li><li><a data-organ="dna" href="https://pyautolabs.github.io/PyAutoDNA/">DNA</a></li><li><a data-organ="nerves" href="https://pyautolabs.github.io/PyAutoNerves/">Nerves</a></li><li><a data-organ="gut" href="https://pyautolabs.github.io/PyAutoGut/">Gut</a></li></ul></main><script>const MAX_PROMPT_CHARS = 50000;
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   let count=0;for(const character of text){if(++count>MAX_PROMPT_CHARS)return false;}
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