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 flonat/flonat-research --skill skill-preflightgit clone --depth 1 https://github.com/flonat/flonat-researchWrote 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/flonat/flonat-research/skill-preflight)<a href="https://agentmods.dev/skills/flonat/flonat-research/skill-preflight"><img src="https://agentmods.dev/badge/skills/flonat/flonat-research/skill-preflight/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/flonat/flonat-research/skill-preflight"><img src="https://agentmods.dev/badge/skills/flonat/flonat-research/skill-preflight.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00034 | $0.02004 |
| Opus 5 | $0.00017 | $0.01002 |
| Sonnet 5 | $0.00007 | $0.00401 |
| Haiku 4.5 | $0.00003 | $0.00200 |
Grade A, and why
skill-preflight 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 8d 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 — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creation Guard: Pre-Flight Duplicate Check
Prevent duplicate functionality by analysing existing skills, agents, and rules before creating new ones. Intercepts creation intent, searches for overlap, and recommends one of 5 actions.
When to Use
Invoke before creating ANY new:
- Skill (
skills/*/SKILL.md) - Agent (
.claude/agents/*.md) - Rule (
rules/*.md)
Trigger phrases:
- "Create a skill for..."
- "I want a new skill that..."
- "Let's add an agent for..."
- "We need a rule for..." / "add a rule that..."
- Any intent to create new automation/tooling
Rules need this most, not least. A duplicate skill is visible — it shows up
in the catalogue and the slash menu. A duplicate rule is invisible: both copies
load silently as system instructions, and the first sign of trouble is two
subtly different versions of the same policy competing. Rules are also
break-the-glass infrastructure, so an unnecessary one is a standing cost on
every session. Check for an existing rule to amend before writing a new one
— amendment is the usual correct outcome for rules, where PROCEED is the usual
outcome for skills.
Process
Step 1: Identify the Proposal
Extract from the request:
- Name: Proposed name (kebab-case)
- Type: skill | agent | rule
- Purpose: What it does (one sentence)
- Key Functions: 3-5 main capabilities
- Keywords: Searchable terms related to functionality
Step 2: Search Existing Artifacts
Run these searches in parallel:
- Read
skills/shared/skill-index.md— scan the categorised table for potential duplicates by name and purpose - Keyword search — grep skills, agents, and rules for each keyword:
Grep for each keyword across:
- skills/*/SKILL.md (frontmatter + body)
- .claude/agents/*.md (frontmatter + body)
- rules/*.md (frontmatter + body)
- Agent scan — read frontmatter of each agent to check purpose overlap:
Glob: .claude/agents/*.md
Read first 20 lines of each match
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.
- 8d ago First seen · 257 lines · 34 tokens per session scan A 5a81b05b4485
skill-preflight is a skill published in the GitHub repository flonat/flonat-research (133 stars, last pushed 16d ago), licensed MIT. It adds 34 tokens to every session and 2,004 once invoked, about $0.0002 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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