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PS D:\1C> 4..15 | % { $n=$_; $p="Read AGENTS.md and all root Markdown files. Complete only lab $n using its methodic. Skip it if a verified .dt already exists. Create a separate 1C infobase, add test data, verify in 1C, export .dt, and update the status file. If blocked, record the exact error and finish without questions."; codex --profile ollama-launch -m 'huihui_ai/gemma-4-abliterated:12b' --ask-for-approval never exec --sandbox workspace-write --skip-git-repo-check --output-last-message ('.\lab{0:D2}-result.txt' -f $n) $p }
OpenAI Codex v0.163.0
--------
workdir: D:\1C
model: huihui_ai/gemma-4-abliterated:12b
provider: ollama-launch
approval: never
sandbox: workspace-write [workdir, /tmp, $TMPDIR]
reasoning effort: none
reasoning summaries: none
session id: 01a15b22-57b6-7900-9a5c-d25b0015f355
--------
user
Read AGENTS.md and all root Markdown files. Complete only lab 4 using its methodic. Skip it if a verified .dt already exists. Create a separate 1C infobase, add test data, verify in 1C, export .dt, and update the status file. If blocked, record the exact error and finish without questions.
The user wants me to process "lab 4" based on specific instructions.
I need to:
1. Read `AGENTS.md` and all root Markdown files.
2. Focus on "lab 4" and follow its method.
3. Skip "lab 4" if a verified `.dt` file already exists.
4. Create a separate 1C infobase for lab 4.
5. Add test data to this infobase.
6. Verify the data in 1C.
7. Export the data to a `.dt` file.
8. Update the status file for lab 4.
9. If blocked, record the exact
Warning: no last agent message; wrote empty content to .\lab04-result.txt
tokens used
4 096
OpenAI Codex v0.163.0
--------
workdir: D:\1C
model: huihui_ai/gemma-4-abliterated:12b
provider: ollama-launch
approval: never
sandbox: workspace-write [workdir, /tmp, $TMPDIR]
reasoning effort: none
reasoning summaries: none
session id: 01a15b22-73a5-7113-badf-0e2498a8ba9b
--------
user
Read AGENTS.md and all root Markdown files. Complete only lab 5 using its methodic. Skip it if a verified .dt already exists. Create a separate 1C infobase, add test data, verify in 1C, export .dt, and update the status file. If blocked, record the exact error and finish without questions.
The user wants me to:
1. Read `AGENTS.md` and all root Markdown files.
2. Complete **only** lab 5 using its specific method.
3. Skip lab 5 if a verified `.dt` file already exists.
4. For lab 5, the process is:
* Create a separate 1C infobase.
* Add test data.
* Verify in 1C.
* Export `.dt`.
* Update the status file.
5. If blocked, record the exact error and finish without questions.
I need to check if "lab 5" refers to a specific file in the root
Warning: no last agent message; wrote empty content to .\lab05-result.txt
tokens used
220
OpenAI Codex v0.163.0
--------
workdir: D:\1C
model: huihui_ai/gemma-4-abliterated:12b
provider: ollama-launch
approval: never
sandbox: workspace-write [workdir, /tmp, $TMPDIR]
reasoning effort: none
reasoning summaries: none
session id: 01a15b22-7fb7-7312-861c-02f6bcb8fe6b
--------
user
Read AGENTS.md and all root Markdown files. Complete only lab 6 using its methodic. Skip it if a verified .dt already exists. Create a separate 1C infobase, add test data, verify in 1C, export .dt, and update the status file. If blocked, record the exact error and finish without questions.
The user wants me to process "lab 6" specifically based on a set of instructions found in `AGENTS.md` and all root Markdown files.
I need to follow a specific methodology for lab 6 and skip it if a `.dt` file already exists.
Additionally, I need to create a separate 1C infobase, add test data, verify it in 1C, export a `.dt` file, and update a status file.
If I get blocked, I need to record the exact error and finish without asking questions.
Plan:
1. Read `AGENTS.md` and all root Markdown files (e.g., `lab1.md`, `lab2.md`, etc., or
Warning: no last agent message; wrote empty content to .\lab06-result.txt
tokens used
220
OpenAI Codex v0.163.0
--------
workdir: D:\1C
model: huihui_ai/gemma-4-abliterated:12b
provider: ollama-launch
approval: never
sandbox: workspace-write [workdir, /tmp, $TMPDIR]
reasoning effort: none
reasoning summaries: none
session id: 01a15b22-8bb4-7553-8d83-0e77b8b8245b
--------
user
Read AGENTS.md and all root Markdown files. Complete only lab 7 using its methodic. Skip it if a verified .dt already exists. Create a separate 1C infobase, add test data, verify in 1C, export .dt, and update the status file. If blocked, record the exact error and finish without questions.
The user wants me to process a specific set of tasks based on a set of instructions.
* Read `AGENTS.md`.
* Read all root Markdown files (files in the root directory with `.md` extension).
* Focus on **Lab 7**.
* Check for an existing `.dt` file for Lab 7 (skip if it exists).
* Create a **separate 1C infobase**.
* Add **test data** to that infobase.
* Verify the data in 1C.
* Export the data as a `.dt` file.
* Update the **status file**.
* *
Warning: no last agent message; wrote empty content to .\lab07-result.txt
tokens used
220
OpenAI Codex v0.163.0
--------
workdir: D:\1C
model: huihui_ai/gemma-4-abliterated:12b
provider: ollama-launch
approval: never
sandbox: workspace-write [workdir, /tmp, $TMPDIR]
reasoning effort: none
reasoning summaries: none
session id: 01a15b22-97be-72b3-a8f2-c5dd2fd66137
--------
user
Read AGENTS.md and all root Markdown files. Complete only lab 8 using its methodic. Skip it if a verified .dt already exists. Create a separate 1C infobase, add test data, verify in 1C, export .dt, and update the status file. If blocked, record the exact error and finish without questions.
The user wants me to perform several tasks based on the instructions in `AGENTS.md` and all root Markdown files.
Specifically, I need to:
1. Read `AGENTS.md` and all root Markdown files.
2. Complete "lab 8" using the methodology described in the document.
3. Check if a verified `.dt` file already exists for lab 8 before proceeding.
4. Create a separate 1C infobase for lab 8.
5. Add test data to this infobase.
6. Verify the data in 1C.
7. Export the data as a `.dt` file.
8. Update the status file for
Warning: no last agent message; wrote empty content to .\lab08-result.txt
tokens used
220
OpenAI Codex v0.163.0
--------
workdir: D:\1C
model: huihui_ai/gemma-4-abliterated:12b
provider: ollama-launch
approval: never
sandbox: workspace-write [workdir, /tmp, $TMPDIR]
reasoning effort: none
reasoning summaries: none
session id: 01a15b22-a3ad-7ac0-871d-12306be87cf7
--------
user
Read AGENTS.md and all root Markdown files. Complete only lab 9 using its methodic. Skip it if a verified .dt already exists. Create a separate 1C infobase, add test data, verify in 1C, export .dt, and update the status file. If blocked, record the exact error and finish without questions.
The user wants me to perform a specific task based on a set of instructions:
Read `AGENTS.md` and all root Markdown files.
Complete lab 9 specifically following its methodic.
Skip lab 9 if a verified `.dt` file already exists.
* Create a separate 1C infobase.
* Add test data.
* Verify in 1C.
* Export `.dt`.
* Update the status file.
Record the exact error and finish without questions.
I need to check the content of `AGENTS.md` and the root Markdown files to understand the rules and structure.
I need to find the specific section for Lab 9 and
Warning: no last agent message; wrote empty content to .\lab09-result.txt
tokens used
220
OpenAI Codex v0.163.0
--------
workdir: D:\1C
model: huihui_ai/gemma-4-abliterated:12b
provider: ollama-launch
approval: never
sandbox: workspace-write [workdir, /tmp, $TMPDIR]
reasoning effort: none
reasoning summaries: none
session id: 01a15b22-afab-7c01-9385-38e30a060108
--------
user
Read AGENTS.md and all root Markdown files. Complete only lab 10 using its methodic. Skip it if a verified .dt already exists. Create a separate 1C infobase, add test data, verify in 1C, export .dt, and update the status file. If blocked, record the exact error and finish without questions.
The user wants me to perform a specific task involving "lab 10" based on a set of rules in `AGENTS.md` and other root Markdown files.
* Read `AGENTS.md`.
* Read all other root Markdown files.
* Complete lab 10 using its specific method.
* Skip lab 10 if a `.dt` file already exists for it (verified).
* Create a new 1C infobase (this implies a specific database/system, likely 1C:Enterprise).
* Add test data to this new infobase.
* Verify in 1C.
* Export the `.
Warning: no last agent message; wrote empty content to .\lab10-result.txt
tokens used
220
OpenAI Codex v0.163.0
--------
workdir: D:\1C
model: huihui_ai/gemma-4-abliterated:12b
provider: ollama-launch
approval: never
sandbox: workspace-write [workdir, /tmp, $TMPDIR]
reasoning effort: none
reasoning summaries: none
session id: 01a15b22-bba9-7bb2-81b9-bab4e2abd9f6
--------
user
Read AGENTS.md and all root Markdown files. Complete only lab 11 using its methodic. Skip it if a verified .dt already exists. Create a separate 1C infobase, add test data, verify in 1C, export .dt, and update the status file. If blocked, record the exact error and finish without questions.
The user wants me to:
1. Read `AGENTS.md`.
2. Read all root Markdown files.
3. Complete only *lab 11* using its methodology.
4. Skip lab 11 if a verified `.dt` already exists.
5. Create a separate 1C infobase for lab 11.
6. Add test data to the 1C infobase.
7. Verify the test data in 1C.
8. Export a `.dt` file.
9. Update the status file.
10. If blocked, record the exact error and finish without questions.
Let's break down the steps:
1. **Read `AG
Warning: no last agent message; wrote empty content to .\lab11-result.txt
tokens used
219
OpenAI Codex v0.163.0
--------
workdir: D:\1C
model: huihui_ai/gemma-4-abliterated:12b
provider: ollama-launch
approval: never
sandbox: workspace-write [workdir, /tmp, $TMPDIR]
reasoning effort: none
reasoning summaries: none
session id: 01a15b22-c795-71e0-b3cd-bffa1825a909
--------
user
Read AGENTS.md and all root Markdown files. Complete only lab 12 using its methodic. Skip it if a verified .dt already exists. Create a separate 1C infobase, add test data, verify in 1C, export .dt, and update the status file. If blocked, record the exact error and finish without questions.
The user wants me to process Lab 12 from a specific set of requirements.
* Read `AGENTS.md`.
* Read all root Markdown files (e.g., `Lab 1.md`, `Lab 2.md`, etc.).
* Identify the method for "Lab 12" specifically.
* Skip Lab 12 if a verified `.dt` file already exists.
* Create a separate 1C infobase.
* Add test data to the infobase.
* Verify the data in 1C.
* Export `.dt` file.
* Update the status file (usually something
Warning: no last agent message; wrote empty content to .\lab12-result.txt
tokens used
219
OpenAI Codex v0.163.0
--------
workdir: D:\1C
model: huihui_ai/gemma-4-abliterated:12b
provider: ollama-launch
approval: never
sandbox: workspace-write [workdir, /tmp, $TMPDIR]
reasoning effort: none
reasoning summaries: none
session id: 01a15b22-d35c-7c42-b46c-06b814ae5b67
--------
user
Read AGENTS.md and all root Markdown files. Complete only lab 13 using its methodic. Skip it if a verified .dt already exists. Create a separate 1C infobase, add test data, verify in 1C, export .dt, and update the status file. If blocked, record the exact error and finish without questions.
The user wants me to perform a specific set of actions based on a set of instructions:
* Read `AGENTS.md`.
* Read all root Markdown files.
* Focus on "lab 13" specifically.
* Follow its specific "methodic" (methodology).
* *Conditional check*: Skip lab 13 if a verified `.dt` file already exists.
* *Action for lab 13*: Create a separate 1C infobase, add test data, verify in 1C, export `.dt`, and update the status file.
* *Error handling*: If blocked, record the exact error and finish without questions.
Warning: no last agent message; wrote empty content to .\lab13-result.txt
tokens used
219
OpenAI Codex v0.163.0
--------
workdir: D:\1C
model: huihui_ai/gemma-4-abliterated:12b
provider: ollama-launch
approval: never
sandbox: workspace-write [workdir, /tmp, $TMPDIR]
reasoning effort: none
reasoning summaries: none
session id: 01a15b22-df42-7e33-bfe5-70b58ad6cc7b
--------
user
Read AGENTS.md and all root Markdown files. Complete only lab 14 using its methodic. Skip it if a verified .dt already exists. Create a separate 1C infobase, add test data, verify in 1C, export .dt, and update the status file. If blocked, record the exact error and finish without questions.
The user wants me to:
1. Read `AGENTS.md` and all root Markdown files.
2. Complete "lab 14" using the methodology defined in `AGENTS.md`.
3. Skip lab 14 if a `.dt` file already exists for it.
4. Perform specific actions for lab 14:
* Create a separate 1C infobase.
* Add test data.
* Verify in 1C.
* Export to `.dt`.
* Update the status file.
5. If blocked, record the exact error and finish without questions.
I need to check the content of `
Warning: no last agent message; wrote empty content to .\lab14-result.txt
tokens used
219
OpenAI Codex v0.163.0
--------
workdir: D:\1C
model: huihui_ai/gemma-4-abliterated:12b
provider: ollama-launch
approval: never
sandbox: workspace-write [workdir, /tmp, $TMPDIR]
reasoning effort: none
reasoning summaries: none
session id: 01a15b22-eb36-79c1-9bae-2e163b554eb0
--------
user
Read AGENTS.md and all root Markdown files. Complete only lab 15 using its methodic. Skip it if a verified .dt already exists. Create a separate 1C infobase, add test data, verify in 1C, export .dt, and update the status file. If blocked, record the exact error and finish without questions.
The user wants me to perform several tasks based on the content of `AGENTS.md` and all root Markdown files.
* Read `AGENTS.md`.
* Read all root Markdown files.
* Complete *only* Lab 15.
* Use the specific "methodic" for Lab 15 (implied to be the process described in its section).
* Check if a verified `.dt` file already exists; if so, skip it.
* Create a separate 1C infobase.
* Add test data.
* Verify in 1C.
* Export `.dt`.
* Update
Warning: no last agent message; wrote empty content to .\lab15-result.txt
tokens used
219