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 agentmods add skills/talont-org/autoskillit/render-recipenpx skills add TalonT-Org/AutoSkillit --skill render-recipegit clone --depth 1 https://github.com/TalonT-Org/AutoSkillitWrote 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/talont-org/autoskillit/render-recipe)<a href="https://agentmods.dev/skills/talont-org/autoskillit/render-recipe"><img src="https://agentmods.dev/badge/skills/talont-org/autoskillit/render-recipe.svg" alt="Measured on agentmods" 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 | $0.00038 | $0.02252 |
| Opus 5 | $0.00019 | $0.01126 |
| Sonnet 5 | $0.00008 | $0.00450 |
| Haiku 4.5 | $0.00004 | $0.00225 |
Grade A, and why
render-recipe 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 5d 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 — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Render Recipe
Produce a compact, structured overview of an AutoSkillit recipe. Reads the recipe YAML (provided in the prompt or loaded via load_recipe), analyzes the step graph, and writes a formatted Markdown file to temp/render-recipe/.
When to Use
- User explicitly says "render recipe", "show recipe overview", or invokes
/render-recipe - Do NOT auto-invoke when a recipe is loaded — only on explicit user request
Critical Constraints
NEVER:
- Modify any source code or recipe files
- Invent steps, ingredients, or routing not in the YAML
- Add decorative flair, emoji, or unnecessary commentary
- Create files outside
temp/render-recipe/andrecipes/diagrams/ - Use Unicode characters, emoji, or non-ASCII symbols. ASCII only — use
*for pass,xfor fail,?for confirm,|for spine,+for joins. No box-drawing characters, no arrows like→or↑, no check marks, no crosses. Write->and(up)instead. - Include HTML comments, hash markers, format version markers, or any metadata in the output. No
<!-- ... -->lines. - Include "Agent-managed" lines listing internal context variables. The user doesn't need to see plumbing state.
ALWAYS:
- Read the recipe YAML carefully and render exactly what exists
- Write output to
temp/render-recipe/{recipe-name}_{YYYY-MM-DD_HHMMSS}.md - Print the rendered content to terminal after writing the file
Rendering Specification
The output has exactly two sections. Follow this structure precisely.
Note: The inputs table is NOT part of the diagram output. It is generated at runtime from the recipe YAML by _format_ingredients_table (single source of truth). Do not include an inputs table in the diagram file.
Section 1: Header
## {name}
Just the name. No description — the user already chose the recipe from the picker.
Section 2: Flow Diagram
Build an ASCII flow diagram showing the step graph. This is the core visual.
Infrastructure steps to hide:
The diagram shows ONLY the skill work — run_skill invocations and test_check. Everything else is plumbing. Hide:
- All
run_cmdsteps — value capture, shell one-liners, branch computation. All plumbing. - All
push_to_remotesteps — mechanical transport. - All
clone_reposteps — setup plumbing. - All issue lifecycle steps —
get_issue_title,claim_issue,release_issue. Plumbing. - All branch creation steps —
create_unique_branch,create_branch. Plumbing. - All CI/CD steps —
wait_for_ci,wait_for_merge_queue,enable_auto_merge,route_queue_mode,reenter_merge_queue,queue_ejected_fix,diagnose_ci. Plumbing. - All
merge_worktreesteps — worktree-back-to-branch merge. Plumbing. - All cleanup steps —
delete_clone,cleanup_failure,confirm_cleanup. Teardown. - All post-PR steps —
review_pr,resolve_review,diagnose_ci,resolve_ci. Post-delivery plumbing. - All
action: routesteps — pure routing nodes with no work.
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.
- 5d ago First seen · 161 lines · 38 tokens per session scan A dc6e4875e19c
render-recipe is a skill published in the GitHub repository TalonT-Org/AutoSkillit (5 stars, last pushed 6d ago), licensed MIT. It adds 38 tokens to every session and 2,252 once invoked, about $0.0002 per session on Opus 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 2026-08-31.
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