What is privacy-review?

A local privacy check for commits in the AstraGram project that are ahead of the remote main branch. It looks for computer-specific file paths before changes are pushed.

Use it before pushing AstraGram changes to review the relevant commits and check for machine-specific paths.

It can catch local paths accidentally included in commits before they are shared with a remote repository.

How Kindness-Kismet/AstraGram-Desktop configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to Kindness-Kismet/AstraGram-Desktop. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/Kindness-Kismet/AstraGram-Desktop/main/.claude/skills/privacy-review/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/Kindness-Kismet/AstraGram-Desktop

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/kindness-kismet/astragram-desktop/privacy-review/github.svg)](https://agentmods.dev/skills/kindness-kismet/astragram-desktop/privacy-review)

Your own site

<a href="https://agentmods.dev/skills/kindness-kismet/astragram-desktop/privacy-review"><img src="https://agentmods.dev/badge/skills/kindness-kismet/astragram-desktop/privacy-review/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/kindness-kismet/astragram-desktop/privacy-review"><img src="https://agentmods.dev/badge/skills/kindness-kismet/astragram-desktop/privacy-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 332 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin unknown No closer match found in the catalogue.

Token cost

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	$0.00055	$0.00332
Opus 5.5	$0.00022	$0.00133
Sonnet 5.5	$0.00011	$0.00066
Haiku 4.5	$0.00006	$0.00033

Measured yesterday against content hash 31db7f588913, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

privacy-review 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 yesterday.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/scan_commits.py, scripts/test_scan_commits.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.claude/skills/privacy-review/SKILL.md · 21 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

yesterday First seen · 21 lines · 55 tokens per session scan A 31db7f588913

Subscribe to this mod's changes

privacy-review is a skill published in the GitHub repository Kindness-Kismet/AstraGram-Desktop (168 stars, last pushed today), with no licence file. It adds 55 tokens to every session and 332 once invoked, about $0.0002 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 2026-11-07.

Commits Git and workflow Security

privacy-review next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
privacy-reviewKindness-Kismet/AstraGram-Desktop	Skill	168	today	none	A	55	Claude Code
create-prprisma/orm	Skill	48k	yesterday	Apache-2.0	A	48	Claude Code, Codex
git-commitThinkInAIXYZ/deepchat	Skill	6.4k	yesterday	Apache-2.0	A	15	Claude Code, Codex
repo-syncdavidondrej/skills	Skill	4.3k	2d ago	MIT	A	25	Claude Code, Codex
engineer-bot-opsmakecindy/cindy	Skill	9.5k	today	Apache-2.0	A	57	Claude Code, Codex
mcore-split-prNVIDIA/skills	Skill	3.9k	yesterday	Apache-2.0	A	25	Claude Code
contributingHugoRCD/evlog	Skill	1.9k	today	MIT	A	68	Claude Code, Codex

AstraGram-Desktop: Skill for Claude Code