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 kyle-chalmers/ticketwright --skill skillifygit clone --depth 1 https://github.com/kyle-chalmers/ticketwrightWrote 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/kyle-chalmers/ticketwright/skillify)<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.
<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>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 | $0.00043 | $0.01925 |
| Opus 5.5 | $0.00017 | $0.00770 |
| Sonnet 5.5 | $0.00009 | $0.00385 |
| Haiku 4.5 | $0.00004 | $0.00193 |
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.
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
capabilitiesfrom this skill'skit_paths.py --jsonprobe the first time a question comes up, and keep the result. capabilities.structured_questionsisyesandcapabilities.question_toolis notnone→ ask with that tool, withincapabilities.question_limits(when that saysunknown: 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, theyesbefore 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 typesgo ahead.
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.
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.
- today First seen · 106 lines · 43 tokens per session scan A 6e24e8a6438c
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.
skillify compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| skillifykyle-chalmers/ticketwright | Skill | 4 | 2d ago | MIT | A | 43 | Claude Code |
| scheduleOpenAnalystInc/10x-analyst-loop | Skill | 4 | 8mo ago | none | A | 47 | Claude Code |
| live-updateOpenAnalystInc/10x-analyst-loop | Skill | 4 | 8mo ago | none | B | 48 | Claude Code |
| add-teamsmicrosoft/power-platform-skills | Skill | 1.1k | yesterday | MIT | A | 31 | Claude Code |
| sys-configurenyldn/claude-octopus | Skill | 4.4k | yesterday | MIT | A | 18 | Claude Code |
| relationsLifecycle-Innovations-Limited/claude-ops | Skill | 548 | 4d ago | MIT | A | 27 | Claude Code |
| llm-friendly-contextshinpr/claude-code-workflows | Skill | 711 | 4d ago | MIT | A | 52 | Claude Code |