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 sordi-ai/skill-everything --skill _templategit clone --depth 1 https://github.com/sordi-ai/skill-everythingWrote 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/sordi-ai/skill-everything/_template)<a href="https://agentmods.dev/skills/sordi-ai/skill-everything/_template"><img src="https://agentmods.dev/badge/skills/sordi-ai/skill-everything/_template/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/sordi-ai/skill-everything/_template"><img src="https://agentmods.dev/badge/skills/sordi-ai/skill-everything/_template.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00030 | $0.00418 |
| Opus 5.5 | $0.00012 | $0.00167 |
| Sonnet 5.5 | $0.00006 | $0.00084 |
| Haiku 4.5 | $0.00003 | $0.00042 |
Grade A, and why
<kebab-case-name> 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 1mo 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.
What it actually says
Sub-Skill: [Name]
Purpose: [1-2 sentences. What this sub-skill does and why it exists.]
Rules
[Category 1]
- [Rule name]. [Action directive — must start with Always, Never, Before, After, Prefer, Avoid, Use, Do, or Ensure.]
- [Rule name]. [Action directive.] Reference: ERR-YYYY-NNN
- [Rule name]. [Action directive.]
[Category 2]
- [Rule name]. [Action directive.]
- [Rule name]. [Action directive.]
See also
skills/code-quality/SKILL.md(when this skill specialises a generic rule, link to it)skills/error-log/SKILL.md(errors that motivated rules in this skill)
Notes
- Frontmatter is mandatory. The CI validator (
tools/validate_rules.py) will fail any sub-skill without a valid frontmatter againstschemas/skill-manifest.json. - Action directives, not descriptions. "SQL injection is dangerous" is a description; "Never concatenate user input directly into SQL queries; always use prepared statements" is an action directive.
Reference: ERR-YYYY-NNNon every rule born out of a real observed mistake.- Token budget under 3000. When exceeded, split into thematic sub-skills with
loads_afterchains.
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.
- 1mo ago First seen · 49 lines · 30 tokens per session scan A 7fe41f5ce25d
<kebab-case-name> is a skill published in the GitHub repository sordi-ai/skill-everything (20 stars, last pushed 5mo ago), licensed MIT. It adds 30 tokens to every session and 418 once invoked, about $0.0001 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 2026-08-30.
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