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 jscraik/Agent-Skills --skill skillifygit clone --depth 1 https://github.com/jscraik/Agent-SkillsWrote 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/jscraik/agent-skills/skillify)<a href="https://agentmods.dev/skills/jscraik/agent-skills/skillify"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/skillify/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/jscraik/agent-skills/skillify"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/skillify.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 | $0.00076 | $0.02879 |
| Opus 5.5 | $0.00030 | $0.01152 |
| Sonnet 5.5 | $0.00015 | $0.00576 |
| Haiku 4.5 | $0.00008 | $0.00288 |
Grade C, and why
skillify scanned grade C with 2 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
`wget`, `curl`, `rm -rf`, `nc`, or `netcat`, refuse or block that Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`wget`, `curl`, `rm -rf`, `nc`, or `netcat`, refuse or block that How it starts
The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skillify
Turn a proven workflow into a reusable skill package. Preserve repeatable behavior, not transcript noise.
Philosophy
Start with 2-3 focused surfaces and capture the smallest validated workflow.
First-Principles Gate
- Desired outcome: create only the smallest reusable skill package that has evidence, triggers, boundaries, evals, and a validation route.
- User-specific constraints: interview for missing evidence, prefer Skill SDK package shape, avoid packaging transcript noise, and use the SDK proof ladder before release claims.
- Rejected copied assumption: any repeated workflow deserves a new skill.
- Fundamental constraints: repeatability must be evidenced; destination and owner must be known; the package must include contract and evals.
- Smallest effective mechanism: build, skip, extend, or document based on first-principles artifact fit.
- Artifact decision: BUILD_SKILL.
- Rejected alternatives: creating a skill without owner or trigger proof, using broad discovery as proof, or publishing before validation.
- Evidence required: source evidence, first package validation, strict audit, and scenario-quality receipt.
- Validation proof: run strict audit and
./bin/ask skills package verify <skill-path> --json --robotbefore broader release checks. - Stop or pivot condition: if source evidence cannot prove triggers, inputs, outputs, and validation, return a plan and block creation.
When To Use
- The user asks to skillify, create a skill, save a workflow, package a process, or make reusable guidance.
- The user asks to look across recent work, sessions, memories, telemetry, or Chronicle for repeated workflows worth packaging.
- A completed session has repeatable triggers, known inputs, expected outputs, and a validation route.
- The output should be a canonical skill package, not a one-off answer, doc note, or hook.
Required Inputs
- Source evidence or permission to discover it, destination path, owner, success criteria, side-effect class, one realistic trigger, and one validation command.
What ships with it
10 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.
- agents/openai.yaml 250 B
- assets/icon-small.png 3.5 KB
- assets/icon.png 33 KB
- references/contract.yaml 6.9 KB
- references/discovery-interview.md 3.3 KB
- references/evals.yaml 23 KB
- references/evidence-discovery.md 4.8 KB
- references/examples.md 1.3 KB
- references/skill-template.md 5.6 KB
- references/task-profile.json 1.1 KB
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 Changed · +217 lines · +19 tokens per session scan A → C ec85617c3440
- 1mo ago First seen · 13 lines · 57 tokens per session scan A e76ec5a6c21d
skillify is a skill published in the GitHub repository jscraik/Agent-Skills (9 stars, last pushed 4d ago), licensed Apache-2.0. It adds 76 tokens to every session and 2,879 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it C with 2 findings (recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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