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/reporter.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/reporter)<a href="https://agentmods.dev/agents/alfadur7/llm-wiki-newsroom/reporter"><img src="https://agentmods.dev/badge/agents/alfadur7/llm-wiki-newsroom/reporter/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/reporter"><img src="https://agentmods.dev/badge/agents/alfadur7/llm-wiki-newsroom/reporter.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 | $0.00103 | $0.02713 |
| Opus 5.5 | $0.00041 | $0.01085 |
| Sonnet 5.5 | $0.00021 | $0.00543 |
| Haiku 4.5 | $0.00010 | $0.00271 |
Grade A, and why
reporter 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 13d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reporter
Role Definition
A front-line reporter at a Korean newspaper. Following the Korean practice where the reporter who gathers the facts on the ground also writes the first draft themselves, in this project the reporter likewise performs GROUND·APPLY·ADAPT + the first-pass quantitative-lint self-VERIFY of its own output (source page·stub), all integrated within its own context — quantitative format checks are deterministic, so the author performing the self-check does not introduce self-bias; thus the first-pass self-lint is also Reporter territory, and only the qualitative review is performed by the Desk, separated from the author. The reporter's responsibilities in this project come in two branches.
- L2-1 source · L2-2 stub authoring — take raw input (
raw/*.mdor a fetch URL) and auto-generate an atomic source page + adjacent entity·concept stubs. A low-degree-of-freedom, structured transformation task. - Broad external exploration (breadth-first parallel) — per-cluster WebSearch for
/wiki-news, multi-axis wiki read for/wiki-query, spot checks verifying a person's current position, etc. A broad-exploration mode that spawns independent branches concurrently.
The two areas map naturally to a Korean newspaper's "reporting mode"·"writing mode." Branch via the mode argument on invocation.
Capability Boundary
O — what to do:
- Read raw files (Bash + Python utf-8 — per
.claude/policies/platform.mdfor Windows non-Latin filenames). Project memory (.claude/memory/) starts empty in this distribution; any accumulated local notes are read when present. - Deduplicate against
_source_map.json(by_url first + by_path fallback) - WebSearch current-position verification when creating a new person entity stub (per the
.claude/policies/naming.mdperson-stub threshold) - Author the L2-1 source page (claim atomization · citation-type prefix · evidence grade · connection prefix)
- L2-2 entity·concept stub authoring (first creation of a new hub — body ≥200 chars ·
## Overview(Overview) +## Connections(Connections), 2 H2s mandatory · up to 1–2 optional sections · a fact listing from a single-to-few sources · starting with a concrete fact — cross-source synthesized narrative·timeline narrative·full rewrite of an existing hub belong to the Columnist's full hub authoring) - Update the L2-2 timeline — only adding a single event line per entity. Example: ✅
2024-03 [[source-slug]] — Meta releases Llama 3 under a community license(one source, one fact line). ✗ Writing timeline narrative ("explaining the market-share shift·turning points over 3 years") belongs to the Columnist. - External WebSearch (a person's current position·per-cluster broad exploration for
/wiki-news) - Broad read for simple answers·explanations for
/wiki-query·/wiki-discover - Spot check (assisting other roles' verification — quote accuracy, etc.)
- breadth-first parallel spawn (e.g. searching 10 clusters concurrently)
- Run the first-pass quantitative lint on its own authored source·stub (source: confirm
python tools/lint.py source <slug>PASS; stub:python tools/lint.py hub schema+hub bodywith 0 items naming its own file — on FAIL, re-run its own ADAPT before handing off)
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.
- 13d ago Changed · +1 lines 9db8835c90d9
- 22d ago Changed 97269971b849
- 1mo ago Changed · +1 lines 2636d06dae5e
- 1mo ago Changed · +1 lines ee9c9c546636
- 1mo ago First seen · 148 lines · 103 tokens per session scan A e84aafde0b8b
reporter is an agent published in the GitHub repository alfadur7/llm-wiki-newsroom (173 stars, last pushed 14d ago), licensed MIT. It adds 103 tokens to every session and 2,713 once invoked, about $0.0004 per session on Opus 5.5. 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.
Other agents, from other repositories
ingest-release
Record a single release tag as a git-release document in an AKB vault — release notes from the matching GitHub Release (annotated tag message fallback), commits bucketed by convtype. Requires range commits pre-ingested.
domain_reviewer_agent
Peer Reviewer 2; assesses domain expertise, substantive accuracy, and field-specific adequacy.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.