Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add digital-stoic-org/agent-skills/plugin install lazyWrote 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/digital-stoic-org/agent-skills/create-lazy)<a href="https://agentmods.dev/skills/digital-stoic-org/agent-skills/create-lazy"><img src="https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/create-lazy/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/digital-stoic-org/agent-skills/create-lazy"><img src="https://agentmods.dev/badge/skills/digital-stoic-org/agent-skills/create-lazy.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 | $0.00098 | $0.01185 |
| Opus 5.5 | $0.00039 | $0.00474 |
| Sonnet 5.5 | $0.00020 | $0.00237 |
| Haiku 4.5 | $0.00010 | $0.00119 |
Grade A, and why
create-lazy 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.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
create-lazy — Declare a Lazy Skill
Generate a lazy-<name> placeholder that intercepts trigger keywords, logs each hit to /praxis/thinking/lazy/<name>.jsonl, and returns control to Claude Code for manual handling. See reference.md for the generated template, design rationale, and promotion workflow.
Args
/create-lazy <skill-name> "<short intent hint>"
<skill-name>— kebab-case, nolazy-prefix (this skill adds it).<intent hint>— terse by design. Treated as intent, not final copy. Step 1.5 rewrites it into a trigger-rich description.
Template variables
| Placeholder | Source |
|---|---|
<name> |
kebab-case first arg |
<enriched-description> |
Step 1.5 output — user-approved, trigger-rich |
$AGENT_SKILLS |
/home/mat/dev/agent-skills (source, never the plugin cache) |
Algorithm
Execute in order. Abort on failure.
Step 1 — Validate args
- Empty
<name>or intent → print usage, stop. <name>not matching^[a-z0-9]+(-[a-z0-9]+)*$→❌ <name> must be kebab-case.<name>starts withlazy-→❌ Drop the "lazy-" prefix — this skill adds it.
Step 1.5 — Enrich the description
Rewrite the user's terse hint into a well-formed description. Required shape:
- One-sentence capability summary — concrete verbs, specific domain.
- Trigger list —
Use when user says "<phrase1>", "<phrase2>", …— include the user's original phrase verbatim plus 4–8 plausible variations (synonyms, alternate verb forms, file extensions, domain jargon). - Scope clarifiers — formats, domains, contexts that disambiguate from adjacent skills.
Rules: stay truthful to intent (no invented capabilities); include obvious triggers (file extensions, format names); keep under 1024 chars; no meta-commentary about being a placeholder.
Example enrichment:
- User input:
"convert xlsx" - Enriched:
Convert Excel spreadsheets (.xlsx, .xls) to markdown or CSV for LLM context. Use when user says "convert xlsx", "convert excel", "excel to markdown", "xlsx to csv", "read this spreadsheet", or mentions .xlsx / .xls files. Handles multi-sheet workbooks and preserves table structure.
What ships with it
1 file 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.
- 1mo ago First seen · 96 lines · 98 tokens per session scan A e20728b44652
create-lazy is a skill published in the GitHub repository digital-stoic-org/agent-skills (20 stars, last pushed 12d ago), licensed MIT. It adds 98 tokens to every session and 1,185 once invoked, about $0.0004 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 2026-09-04.
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workthreads
SpecStory Workthreads - a weekly work-thread rollup across a team's repos from SpecStory coding histories (any agent - Claude Code, Codex, Cursor, Gemini, and more). It groups the window's sessions into threads of work per project and labels each new / open / recently closed, so a lead sees what shipped, what is still…
atmos-config
Atmos root configuration: atmos.yaml discovery, precedence, deep merging, basepath, imports, minimal bootstrap, and routing to narrower Atmos skills.
projects
List all managed projects with status, branch, open PRs, and open issue counts — portfolio-level view.
qa-project-bootstrap
Onboard a new QA engineer to an existing codebase, or audit an existing test architecture. Produces a 30-day ramp plan: codebase orientation, framework walkthrough, test architecture audit, mentorship pairing, and first-test guidance. Use when: "QA onboarding," "new tester," "ramp up," "test architecture audit,"…