skillify

skillify is a skill for Claude Code from kyle-chalmers/ticketwright. It costs 43 tokens per session (1,925 once invoked), scanned A, original, MIT.

Turn a workflow you repeat by cloning the last ticket into a parameterized skill of its own, with a phased pipeline, QC checkpoints, a golden replay test, and a hard stop before external posts.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths; mentions subagents.

Install with agentmods
npx agentmods add skills/kyle-chalmers/ticketwright/skillify
Install

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.

Any agent
npx skills add kyle-chalmers/ticketwright --skill skillify
Clone the repo
git clone --depth 1 https://github.com/kyle-chalmers/ticketwright

Made for: Claude Code.

Wrote 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.

agentmods badge for skillify

README.md
[![agentmods](https://agentmods.dev/badge/skills/kyle-chalmers/ticketwright/skillify/github.svg)](https://agentmods.dev/skills/kyle-chalmers/ticketwright/skillify)
Your own site
<a href="https://agentmods.dev/skills/kyle-chalmers/ticketwright/skillify"><img src="https://agentmods.dev/badge/skills/kyle-chalmers/ticketwright/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.

agentmods 80×15 button for skillify

Your own site · 80×15
<a href="https://agentmods.dev/skills/kyle-chalmers/ticketwright/skillify"><img src="https://agentmods.dev/badge/skills/kyle-chalmers/ticketwright/skillify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,925 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00043 $0.01925
Opus 5.5 $0.00017 $0.00770
Sonnet 5.5 $0.00009 $0.00385
Haiku 4.5 $0.00004 $0.00193

Measured today against content hash 6e24e8a6438c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skillify 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 today.

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.

.claude/skills/skillify/SKILL.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/skillify

The meta-skill (skillify_everything). When a task recurs (quarterly sale, monthly report, periodic reconciliation), this stamps out a new folder skill with the generated-skill skeleton: a phased pipeline with hard halts, parameterized SQL/steps, a QC checkpoint, a golden-replay regression test, and a hard halt before any external post. Candidates come from two places: the repeat check in repeats.md (recall.py --repeats: this ticket reads the same tables as an earlier one), which /ticket, /ship's retro and a session's closing message run at the second instance, and the --recurring flag of tools/build_ticket_index.py ("this object shows up in 7 tickets").

Where it came from. When the run starts from a repeat suggestion, it arrives with the tickets the pattern came from. Use them as the golden fixture's known-good run (Phase 1) and write them, always as <owner>/<id>, into the new skill's built_from:, with the tables they read in read_objects:. That is how the next repeat check finds this skill instead of suggesting a second one. A bare id that more than one owner has is not written: ask which ticket it meant.

How this skill asks the person something

The kit's one question rule, the same in every skill that asks:

  • Read capabilities from this skill's kit_paths.py --json probe the first time a question comes up, and keep the result.
  • capabilities.structured_questions is yes and capabilities.question_tool is not none → ask with that tool, within capabilities.question_limits (when that says unknown: one question per call, at most four options). Group up to the limit only questions that do not depend on each other's answers; ask a dependent question after the one it depends on.
  • Otherwise (no / unknown, or the probe failed) → ask in chat as a short numbered list, one question at a time unless this skill says a set goes in one round, and wait for an explicit answer.
  • The question content is the same either way; only how it is shown changes. No skill names a runtime's tool: the runtime's own adapter (adapters/runtime/<name>.md) does. A question tool is not available inside a subagent, so the main session asks.
  • Never invent an option. Options come from what this run found or the fixed choices a step names. A recommended option goes first, marked recommended, with where it came from; the person still picks. Each option says what choosing it changes, and free text is always possible (the tool's own "Other", or "or tell me something else" in prose).
  • Whatever the person needs to answer is already in chat before the question, so a picker never hides it.
  • A reply the kit asks for word for word (ship unreviewed, the yes before destructive SQL) stays typed: an unreviewed ship or an irreversible write is never one click. The external-send gate (go ahead) is asked like any other question once the full delivery plan is in chat: its first option is "Go ahead", which delivers exactly the printed plan, and with no question tool the person types go ahead.

Read the full file on GitHub · 106 lines

Files

What ships with it

2 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.

Changes

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.

  1. today First seen · 106 lines · 43 tokens per session scan A 6e24e8a6438c

Subscribe to this mod's changes

skillify is a skill published in the GitHub repository kyle-chalmers/ticketwright (4 stars, last pushed 2d ago), licensed MIT. It adds 43 tokens to every session and 1,925 once invoked, about $0.0002 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 2026-11-07.

Related

skillify compared with skills from other repositories

skillify next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
skillifykyle-chalmers/ticketwrightSkill42d agoMITA43Claude Code
scheduleOpenAnalystInc/10x-analyst-loopSkill48mo agononeA47Claude Code
live-updateOpenAnalystInc/10x-analyst-loopSkill48mo agononeB48Claude Code
add-teamsmicrosoft/power-platform-skillsSkill1.1kyesterdayMITA31Claude Code
sys-configurenyldn/claude-octopusSkill4.4kyesterdayMITA18Claude Code
relationsLifecycle-Innovations-Limited/claude-opsSkill5484d agoMITA27Claude Code
llm-friendly-contextshinpr/claude-code-workflowsSkill7114d agoMITA52Claude Code