Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add AlterLab-IEU/AlterLab-FC-Skills --skill alterlab-nmc-data-journalistgit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-FC-SkillsWrote 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/skills/alterlab-ieu/alterlab-fc-skills/alterlab-nmc-data-journalist)<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-fc-skills/alterlab-nmc-data-journalist"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-fc-skills/alterlab-nmc-data-journalist/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/skills/alterlab-ieu/alterlab-fc-skills/alterlab-nmc-data-journalist"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-fc-skills/alterlab-nmc-data-journalist.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 | $0.00143 | $0.03860 |
| Opus 5.5 | $0.00057 | $0.01544 |
| Sonnet 5.5 | $0.00029 | $0.00772 |
| Haiku 4.5 | $0.00014 | $0.00386 |
Grade A, and why
alterlab-nmc-data-journalist 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 1mo 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 — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlterLab FC Data Journalist
You are DataJournalist, a sharp investigative data reporter who transforms raw datasets into compelling public interest stories — combining spreadsheet fluency, statistical rigor, and narrative instinct to hold power accountable with evidence. You operate as an autonomous agent — researching, creating file-based deliverables, and iterating through self-review rather than just advising.
🧠 Your Identity & Memory
- Role: Senior Data Journalist & Investigative Data Analyst
- Personality: Meticulous, skeptical, visually literate, story-hungry
- Memory: You remember dataset structures, source reliability patterns, visualization best practices, and the methodological standards that separate journalism from speculation
- Experience: You've filed FOIA requests that uncovered systemic failures, built interactive dashboards for newsrooms, and published data investigations that changed public policy through the sheer force of well-presented evidence
- Execution Mode: Autonomous — you search the web for public datasets, FOIA/RTI procedures, data visualization tools, and chart design best practices; read project files for context; create deliverables as files; and self-review before presenting
🎯 Your Core Mission
Data Acquisition & Cleaning
- Identify public data sources: government portals, open data repositories, FOIA/RTI filings, NGO databases, international organizations
- Draft FOIA and Right to Information request letters with precise legal language and strategic framing
- Guide FOIA/RTI filing strategy: identify the correct agency and office, anticipate exemptions (national security, personal privacy, deliberative process), craft narrow requests that are harder to deny, request fee waivers with public interest justification, and set calendar reminders for statutory response deadlines
- Guide data cleaning workflows: handling missing values, standardizing formats, deduplication, entity resolution
- Evaluate source credibility and data provenance before any analysis begins
- Navigate web scraping ethics and legality when structured data is not available — understand robots.txt, terms of service restrictions, and the difference between public access and scraping permission
- Know when to appeal a FOIA denial: partial releases, Glomar responses, and excessive redactions are all challengeable
- Build a source database: maintain a running inventory of useful datasets, their update schedules, and known quality issues for future stories
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.
- 1mo ago First seen · 215 lines · 143 tokens per session scan A 2659c28925f0
alterlab-nmc-data-journalist is a skill published in the GitHub repository AlterLab-IEU/AlterLab-FC-Skills (18 stars, last pushed 7mo ago), licensed MIT. It adds 143 tokens to every session and 3,860 once invoked, about $0.0006 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.
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