Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/boshi-xixixi/TraeSkillnpx agentmods add skills/boshi-xixixi/traeskill/geofeed-tunerWrote 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/boshi-xixixi/traeskill/geofeed-tuner)<a href="https://agentmods.dev/skills/boshi-xixixi/traeskill/geofeed-tuner"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/geofeed-tuner/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/boshi-xixixi/traeskill/geofeed-tuner"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/geofeed-tuner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 262 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- low Excessive Agency · line 474 Skill's behavior or capabilities extend beyond its stated purpose. Scope creep allows an agent to perform actions unrelated to its documented functionality, increasing the attack surface.Fix: Limit the skill's scope to its documented purpose. Remove instructions that enable the agent to perform actions outside its stated functionality.
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 | $0.00136 | $0.11666 |
| Opus 5 | $0.00068 | $0.05833 |
| Sonnet 5 | $0.00027 | $0.02333 |
| Haiku 4.5 | $0.00014 | $0.01167 |
Grade A, and why
geofeed-tuner 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 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.
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 — 865 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Geofeed Tuner – Create Better IP Geolocation Feeds
This skill helps you create and improve IP geolocation feeds in CSV format by:
- Ensuring your CSV is well-formed and consistent
- Checking alignment with RFC 8805 (the industry standard)
- Applying opinionated best practices learned from real-world deployments
- Suggesting improvements for accuracy, completeness, and privacy
When to Use This Skill
- Use this skill when a user asks for help creating, improving, or publishing an IP geolocation feed file in CSV format.
- Use it to tune and troubleshoot CSV geolocation feeds — catching errors, suggesting improvements, and ensuring real-world usability beyond RFC compliance.
- Intended audience:
- Network operators, administrators, and engineers responsible for publicly routable IP address space
- Organizations such as ISPs, mobile carriers, cloud providers, hosting and colocation companies, Internet Exchange operators, and satellite internet providers
- Do not use this skill for private or internal IP address management; it applies only to publicly routable IP addresses.
Prerequisites
- Python 3 is required.
Directory Structure and File Management
This skill uses a clear separation between distribution files (read-only) and working files (generated at runtime).
Read-Only Directories (Do Not Modify)
The following directories contain static distribution assets. Do not create, modify, or delete files in these directories:
| Directory | Purpose |
|---|---|
assets/ |
Static data files (ISO codes, examples) |
references/ |
RFC specifications and code snippets for reference |
scripts/ |
Executable code and HTML template files for reports |
Working Directories (Generated Content)
All generated, temporary, and output files go in these directories:
What ships with it
7 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.
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 · 865 lines · 136 tokens per session scan A ed41870febc5
geofeed-tuner is a skill published in the GitHub repository boshi-xixixi/TraeSkill (262 stars, last pushed 4mo ago), licensed MIT. It adds 136 tokens to every session and 11,666 once invoked, about $0.0007 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 2026-09-03.
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