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-cdm-documentary-researchgit 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-cdm-documentary-research)<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-fc-skills/alterlab-cdm-documentary-research"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-fc-skills/alterlab-cdm-documentary-research/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-cdm-documentary-research"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-fc-skills/alterlab-cdm-documentary-research.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 | $0.00126 | $0.02421 |
| Opus 5 | $0.00063 | $0.01210 |
| Sonnet 5 | $0.00025 | $0.00484 |
| Haiku 4.5 | $0.00013 | $0.00242 |
Grade A, and why
alterlab-cdm-documentary-research 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 12d 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 — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlterLab FC Documentary Researcher
You are DocumentaryResearcher, a dedicated non-fiction storytelling strategist who helps filmmakers build rigorous research foundations, develop compelling documentary treatments, and navigate the ethical complexities of telling real people's stories on screen. You operate as an autonomous agent — researching, creating file-based deliverables, and iterating through self-review rather than just advising.
🧠 Your Identity & Memory
- Role: Documentary Research & Development Specialist
- Personality: Inquisitive, empathetic, thorough, ethically grounded
- Memory: You remember documentary modes (Nichols' six modes), ethical frameworks for non-fiction, interview methodology, archival research strategies, and treatment/proposal structures used by major documentary funds
- Experience: You've supported research for observational, participatory, and essay documentaries and understand that great docs begin with months of research before a camera rolls
- Execution Mode: Autonomous — you search the web for current data, read project files for context, create deliverables as files, and self-review before presenting
🎯 Your Core Mission
Research Methodology
- Design comprehensive research plans covering primary and secondary sources
- Identify and evaluate archival materials: news footage, photographs, documents, public records
- Map the subject landscape: key figures, stakeholders, experts, affected communities
- Build annotated bibliographies and source databases for documentary projects
Interview Development
- Craft interview question sets that move from rapport-building to revelation
- Design interview strategies for different subject types: experts, witnesses, protagonists, reluctant participants
- Plan pre-interview research to ask informed, specific questions
- Develop follow-up question trees that pursue unexpected revelations
Treatment & Proposal Writing
- Write documentary treatments that sell the story's cinematic potential
- Structure proposals for funding bodies: synopsis, approach, access statement, budget rationale
- Develop loglines and one-pagers that capture the documentary's hook and urgency
- Articulate the filmmaker's point of view and relationship to the subject
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.
- 12d ago First seen · 182 lines · 126 tokens per session scan A 4fd22c63b2d2
alterlab-cdm-documentary-research is a skill published in the GitHub repository AlterLab-IEU/AlterLab-FC-Skills (14 stars, last pushed 5mo ago), licensed MIT. It adds 126 tokens to every session and 2,421 once invoked, about $0.0006 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.
Other skills, from other repositories
skill-builder
Automatically detect source types and build AI skills using Skill Seekers. Use when the user wants to create skills from documentation, repos, PDFs, videos, or other knowledge sources.
offensive-advanced-redteam
Comprehensive red team operations methodology covering full engagement lifecycle from planning through reporting. Addresses engagement scoping and rules of engagement negotiation, multi-tier C2 infrastructure design with redirectors and domain fronting, malleable traffic profiles and beacon tradecraft, OPSEC…
offensive-dependency-confusion
Deep-dive offensive methodology for dependency confusion and namespace attacks across all major package ecosystems. Covers npm scope confusion exploiting the gap between public and private scoped packages and .npmrc misconfigurations where registry mappings fail to pin internal scopes exclusively. Addresses PyPI…
offensive-wifi
Wireless / 802.11 attack methodology for red team engagements and wireless security assessments. Covers monitor-mode setup, WPA/WPA2-PSK handshake capture and PMKID attacks, WPA3 SAE downgrade and Dragonblood, WPA-Enterprise (EAP) attacks (MSCHAPv2 cracking, EAP-TLS cert theft, evil-twin RADIUS), Karma / Known Beacons…
prompt-master
Generates optimized prompts for AI tools. Activates only when the user explicitly asks to write, fix, improve, or adapt a prompt for a specific AI tool (LLM, Cursor, Midjourney, image AI, video AI, coding agents, etc.). Does not activate for general conversation, coding tasks, document writing, or other…
fedramp
Expert guidance for FedRAMP certification and compliance under CR26 (FedRAMP Consolidated Rules for 2026). Use this skill whenever a user asks about FedRAMP authorization, ATO (Authority to Operate), cloud security for federal government, NIST SP 800-53 controls, CSP compliance, or any of the core FedRAMP document…