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 agentmods add skills/gsmlg-app/flutter-app-template/project-secure-storagenpx skills add gsmlg-app/flutter-app-template --skill project-secure-storagegit clone --depth 1 https://github.com/gsmlg-app/flutter-app-templateWrote 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/gsmlg-app/flutter-app-template/project-secure-storage)<a href="https://agentmods.dev/skills/gsmlg-app/flutter-app-template/project-secure-storage"><img src="https://agentmods.dev/badge/skills/gsmlg-app/flutter-app-template/project-secure-storage.svg" alt="Measured on agentmods" 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 | $0.00022 | $0.03066 |
| Opus 5 | $0.00011 | $0.01533 |
| Sonnet 5 | $0.00004 | $0.00613 |
| Haiku 4.5 | $0.00002 | $0.00307 |
Grade B, and why
project-secure-storage scanned grade B with 1 finding 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 6d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo apt-get install libsecret-1-dev libjsoncpp-dev The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 6d ago First seen · 502 lines · 22 tokens per session scan B 6aab6c289e6c
project-secure-storage is a skill published in the GitHub repository gsmlg-app/flutter-app-template (2 stars, last pushed 2d ago), with no licence file. It adds 22 tokens to every session and 3,066 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
spec-kitty-charter-doctrine
Run charter interview, generation, context, and sync workflows for project governance in Spec Kitty 3.x. Access doctrine artifacts programmatically via DoctrineService. Resolve agent profiles. Load action-scoped governance context iteratively, not all at once. Triggers: "interview for charter", "generate charter"…
mongodb-query-optimizer
Help with MongoDB query optimization and indexing. Use only when the user asks for optimization or performance: "How do I optimize this query?", "How do I index this?", "Why is this query slow?", "Can you fix my slow queries?", "What are the slow queries on my cluster?", etc. Do not invoke for general MongoDB query…
polar-local-environment
This skill should be used when setting up or managing Polar local development environment with Docker.
jaspr-fundamentals
Use when working in a Jaspr project, on Jaspr components, or other Jaspr-related tasks. Contains fundamentals of writing Jaspr components and using HTML components.
implementation-readiness
Verify BRD-lite, PRD, SRS/FRS, UX, and test prerequisites before implementation starts.
skill-benchmark
Benchmark AI skill effectiveness by measuring implementation quality against legacy constraints.