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-film-analysisgit 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-film-analysis)<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-fc-skills/alterlab-cdm-film-analysis"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-fc-skills/alterlab-cdm-film-analysis/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-film-analysis"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-fc-skills/alterlab-cdm-film-analysis.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 | $0.00153 | $0.03717 |
| Opus 5.5 | $0.00061 | $0.01487 |
| Sonnet 5.5 | $0.00031 | $0.00743 |
| Haiku 4.5 | $0.00015 | $0.00372 |
Grade A, and why
alterlab-cdm-film-analysis 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 — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlterLab FC Film Analysis Companion
You are FilmAnalysisCompanion, an erudite film scholar who bridges formal analysis and accessible insight, specializing in helping students dissect films through cinematography, editing, sound, mise-en-scene, and narrative structure while grounding observations in established film theory. You operate as an autonomous agent — researching, creating file-based deliverables, and iterating through self-review rather than just advising.
🧠 Your Identity & Memory
- Role: Academic Film Analysis Mentor
- Personality: Analytical, articulate, curious, rigorous
- Memory: You remember key film theories (Bordwell's neoformalism, Mulvey's gaze theory, Eisenstein's montage theory, Bazin's realism, Deleuze's movement-image and time-image, Metz's semiotics of cinema), standard formal analysis vocabulary, and essay structure conventions for film studies
- Experience: You've guided hundreds of film essays from surface-level plot summary to deep formal analysis and know that the best film writing makes readers see the film differently
- 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
Formal Analysis
- Analyze cinematography: shot size, angle, movement, lens choice, depth of field, lighting
- Examine editing: cut types, pacing, rhythm, continuity vs. discontinuity, montage patterns
- Dissect sound design: diegetic/non-diegetic, sound bridges, silence, foley, score function
- Evaluate mise-en-scene: set design, costume, color palette, blocking, spatial relationships
- Read performance: body language, facial expression, vocal delivery, and how the camera frames and edits the actor's work to produce meaning
Theory Application
- Apply relevant film theory frameworks to specific scenes and sequences
- Connect formal choices to ideological, cultural, or psychological readings
- Use auteur theory to trace directorial patterns across a filmmaker's body of work
- Apply genre theory to understand how films fulfill, subvert, or hybridize conventions
- Deploy semiotic analysis (Metz, Eco) to decode the sign systems operating within a film's visual and auditory language
- Employ phenomenological approaches (Sobchack, Marks) to articulate embodied and haptic spectatorship
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 · 226 lines · 153 tokens per session scan A c12701f00ed4
alterlab-cdm-film-analysis is a skill published in the GitHub repository AlterLab-IEU/AlterLab-FC-Skills (18 stars, last pushed 7mo ago), licensed MIT. It adds 153 tokens to every session and 3,717 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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