Enterprise DNAEnterprise DNA

Skills

hance

by Orva-Studio

Film-grade your footage from the command line - built for humans and agents.

Our verdict

Not reviewed yet

We have not reviewed hance yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About hance

A command-line tool for applying film-grade color grading and enhancement to footage, designed for both human users and AI agents. It is built with TypeScript and distributed via GitHub.

Best for

Developers and AI agents who want to integrate film-grade color grading into automated video workflows

Use cases

  • Color grade video footage from a terminal
  • Automate video enhancement in CI/CD pipelines
  • Integrate film-grade looks into agent-based workflows

Notes

83 stars on GitHub. Last updated 2026-10-08.

Pros

  • Built for both humans and agents, offering flexible automation
  • Uses a scripting approach for reproducible, repeatable results
  • Actively maintained with a dedicated skills repository

Cons

  • Requires command-line familiarity, not suitable for GUI-centric users
  • Limited popularity (83 stars) may indicate a smaller community and fewer third-party resources
  • No documentation provided in the given facts, so learning curve may be steeper

Key facts

What we have checked

Days since the last commit
29
Checked GitHub
GitHub forks
6
Checked GitHub
GitHub stars
83
Checked GitHub
Days to a first reply on issues
119.9
Checked GitHub
Open issues
21
Checked GitHub
Releases in the last 90 days
2
Checked GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How hance is growing

GitHub stars

82 to 83

stars. 1 Nov 2026 to 7 Nov 2026, 2 readings.

Source: GitHub. Checked .

Health and security

Is hance looked after, and what do its setup files show

Health score

70 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked . How it is worked out

PartPointsWhat we saw
Recent activity30 of 30Last push 29 days ago
Releases11.3 of 152 releases in 90 days
Issue replies0 of 20First reply in 119.9 days (median)
Maintainer15 of 15Owned by an organisation
Official sourceNot countedMCP servers only

Security check static checks

97 out of 100

Reads what is published about the server: package advisories, licence, secrets in the documented setup and tool permissions. Nothing is installed or run, so this is not a security assessment. Checked by edna-skill-static-v1 main@030185eed30f. What it checks

  • Low Downloads code and runs it straight away (a well-known installer), host bun.sh: skills/subcommands/setup.md, line 16.
  • Note 1 of 1 packages are not pinned to one version, so only the malicious packages list was checked for them, not version advisories.

Sources

Where this comes from

  • GitHubRegistry

    Checked · Days since the last commit, GitHub forks, GitHub stars, Days to a first reply on issues, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

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