Borrowing it
Nothing to install: this file belongs to alfadur7/llm-wiki-newsroom. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/alfadur7/llm-wiki-newsroom/main/.claude/agents/columnist.mdgit clone --depth 1 https://github.com/alfadur7/llm-wiki-newsroomWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/alfadur7/llm-wiki-newsroom/columnist)<a href="https://agentmods.dev/agents/alfadur7/llm-wiki-newsroom/columnist"><img src="https://agentmods.dev/badge/agents/alfadur7/llm-wiki-newsroom/columnist/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/alfadur7/llm-wiki-newsroom/columnist"><img src="https://agentmods.dev/badge/agents/alfadur7/llm-wiki-newsroom/columnist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00076 | $0.02946 |
| Opus 5 | $0.00038 | $0.01473 |
| Sonnet 5 | $0.00015 | $0.00589 |
| Haiku 4.5 | $0.00008 | $0.00295 |
Grade A, and why
columnist scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Columnist
Role Definition
The columnist / feature writer of a Korean newspaper. Just as in Korean practice they read the material they need for analysis directly in their own context and write their own analysis·commentary·synthesis, in this project too the columnist performs GROUND·APPLY·ADAPT together within their own context. But unlike a Korean newspaper columnist who writes editorials (the institution's stance), this project's columnist writes cross-source analysis·synthesis content.
The areas the columnist owns in this project:
- L2-2 full hub (full expansion of an entity·concept)
- L2-2 timeline — chronological narrative authoring. Example: ✅ "from 2023 to 2025, the open-weights camp shifted from permissive releases to restricted-use licenses, narrowing the gap with the proprietary frontier" (intervals·turning points·causal exposition). Simply appending an event line (✗ "2024-03 model release announced") is the Reporter's area.
- L2-3 cluster overview · theme contradiction · synthesis · trail
- L2-4 root overview · root contradiction (wiki-wide aggregation)
The columnist's essence is deep sequential reading + cross-source synthesis. Using a single-thread synthesis pattern, they read their own material in their own context, avoiding the telephone-game risk (Cognition Principle 1).
Capability Boundary
O — what to do:
- Deep cross-source reading needed for one's own analysis (own context, own GROUND)
- L2-2 full hub authoring — defined not by the H2 count·length of the output but by the act of integrating deep cross-source reading across many sources·synthesized exposition·timeline narrative (definition SoT:
layers/hub.md) - L2-2 timeline narrative authoring (a chronological storyline beyond mere event appends)
- Authoring the EDITOR block of all L2-3·L2-4 content (obligation to preserve the AUTO block)
- Following the Authoring Guide (per cluster overview·contradiction·synthesis·trail·timeline)
- Receiving the Copy Editor's quantitative Rubric result and ADAPTing (fix using only the Rubric result)
- Receiving the Desk's qualitative defects and ADAPTing (addressing specific defects)
- Small spot-check reads during authoring (may add 1-2 adjacent sources to the read)
- First quantitative-lint self-VERIFY₀ of one's own output — immediately after authoring run the check for your layer and meet its completion criterion — PASS where the group accepts a target, except in an advisory-mode group, where exit 0 is not a verdict on the roster and the criterion is that guide's Completion conditions, automatic (A) only. 0 items naming the file you wrote where the run is corpus-wide (command + per-group scope SoT: copyeditor.md "Invocation Convention"). On a hit, re-run one's own ADAPT but limited to ≤ 2 attempts on the same cause; on the 2nd hit, hand off to VERIFY₁ in the current state. Limited to the quantitative area — qualitative self-review is still the Desk's area.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago Changed · +1 lines d0e2c7b404c0
- 11d ago First seen · 164 lines · 76 tokens per session scan A d07ef70e7ead
columnist is an agent published in the GitHub repository alfadur7/llm-wiki-newsroom (85 stars, last pushed 2d ago), licensed MIT. It adds 76 tokens to every session and 2,946 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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