forkable-friday

forkable-friday is a skill for Claude Code, Codex from colinds/forkable-mcp. It costs 44 tokens per session (432 once invoked), scanned A, original, MIT.

An add-on workflow for the forkable meal-planning skill that focuses on planning the following week. It loads upcoming deliveries, reviews meals one at a time, and records whether each meal should stay, change, be removed, or be confirmed.

In plain words
What is it for?
Use it on Fridays or whenever someone wants to review next week's meals, choose alternatives, browse menus, or confirm a weekly meal plan.
Why use it?
It gives weekly planning a defined order and uses saved preferences to reduce repetition and account for likes, dislikes, and notes.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/colinds/forkable-mcp/forkable-friday
Any agent
npx skills add colinds/forkable-mcp --skill forkable-friday
Clone the repo
git clone --depth 1 https://github.com/colinds/forkable-mcp

Made for: Claude Code, Codex.

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 forkable-friday

README.md
[![agentmods](https://agentmods.dev/badge/skills/colinds/forkable-mcp/forkable-friday.svg)](https://agentmods.dev/skills/colinds/forkable-mcp/forkable-friday)
Your own site
<a href="https://agentmods.dev/skills/colinds/forkable-mcp/forkable-friday"><img src="https://agentmods.dev/badge/skills/colinds/forkable-mcp/forkable-friday.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 432 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00044 $0.00432
Opus 5 $0.00022 $0.00216
Sonnet 5 $0.00009 $0.00086
Haiku 4.5 $0.00004 $0.00043

Measured 3d ago against content hash b41625db5b90, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

forkable-friday 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 3d 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.

skills/forkable-friday/SKILL.md · 49 lines

What it actually says

Forkable week planning

Use the forkable skill for shared tool, selection, confirmation, and recovery rules. This skill only adds a one-delivery-at-a-time workflow for planning the next week. Forkable normally posts the next week's suggestions on Friday morning.

Load the week

  1. Call list_deliveries with next Monday and Friday as explicit from and to dates.
  2. If useful for variety, list the current week with explicit bounds.
  3. Read ~/.forkable-mcp/preferences.md when it exists.

If no deliveries are returned, report that the week may not be posted yet. Do not treat an empty range as a completed plan.

Review one delivery at a time

For each delivery:

  1. Show the current owned meal and whether it is confirmed.
  2. Use recommend_meals for a short set of alternatives.
  3. Use search_items for a stated ingredient or cuisine, or get_menus when the user wants to browse.
  4. Keep the image Markdown returned by the tools.
  5. Record whether the user wants to keep, replace, remove, or confirm the meal.

Apply the local preferences described in the forkable skill across the week. Use likes, dislikes, and notes to rank options and avoid unnecessary repetition.

Place changes

Preview and confirm each approved change before moving to the next delivery. Do not collect several preview tokens for confirmation at the end of a long review.

Use set_meal_all only when the user wants the same exact item on several deliveries. Otherwise, keep the review and changes one delivery at a time.

Finish

Summarize deliveries that changed, deliveries left unchanged, and requests Forkable rejected or the tools could not target safely. Keep unresolved deliveries explicit.

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. 3d ago First seen · 49 lines · 44 tokens per session scan A b41625db5b90

Subscribe to this mod's changes

forkable-friday is a skill published in the GitHub repository colinds/forkable-mcp (2 stars, last pushed 9d ago), licensed MIT. It adds 44 tokens to every session and 432 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.

Related

Other skills, from other repositories

opik-diagnose

Surface the Opik traces worth a developer's attention, ranked by signal — errors, failed tool calls, latency, regressions, and low online-eval scores — plus Diagnostics issues. Reads live/production traces via the SDK (searchtraces and agentinsights) and works with no MCP; uses the MCP issue entity when connected.…

comet-ml/opik-mcp · 147 tokens

client-scripts

Write ServiceNow client scripts (onLoad/onChange/onSubmit/onCellEdit) using gform, guser, GlideAjax, field visibility/mandatory toggles, and validation with debounced server calls.

serac-labs/serac · 45 tokens

agoragentic-transaction-assurance

Prepare, evaluate, and reconcile autonomous agent transactions without self-granting payment or owner authority. Use when an agent must bind principal authority, seller terms, payment evidence, execution, delivered outcome, and reconciliation; handle paid retries safely; or prepare an authority request for owner…

rhein1/agoragentic-integrations · 65 tokens

debugging-mutations

Verify what changed on a ServiceNow instance after a tool call — sysaudit inspection, syslog/transaction logs, session context, Flow Designer execution logs, outbound HTTP traces.

serac-labs/serac · 41 tokens

maya-shot-export

Pipeline stage — shot-level export: frame ranges, cameras, FBX / Alembic packaging for editorial. Use when packaging shot data for downstream departments. Not for full pipeline publish (maya-pipeline) or scene assembly (maya-scene-assembly).

dcc-mcp/dcc-mcp-maya · 60 tokens

bdd-container-update

Update the BDD test container image when its dependencies or runtime change. Determines version bump (major vs minor vs patch), rebuilds the Docker image, pushes to GitLab registry, and updates the image tag in starttest.sh. Test source (tests/, features/, scripts/, data/, conftest.py) is bind-mounted from the host…

NVIDIA-AI-Blueprints/video-search-and-summarization · 117 tokens