by:resume

by:resume is a command for Claude Code from 001TMF/blatant-why. It costs 12 tokens per session (1,409 once invoked), scanned A, original, MIT.

A command that continues an interrupted or failed design campaign from its latest saved checkpoint, which is a record of the last completed stage.

In plain words
What is it for?
It is for locating the active campaign, reading its checkpoint files, and dispatching the next step needed to continue.
Why use it?
It avoids repeating completed work and identifies where the campaign stopped.

Command for Claude Code

Written for Claude Code: installed under .claude/.

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 commands/001tmf/blatant-why/resume
Clone the repo
git clone --depth 1 https://github.com/001TMF/blatant-why

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 by:resume

README.md
[![agentmods](https://agentmods.dev/badge/commands/001tmf/blatant-why/resume.svg)](https://agentmods.dev/commands/001tmf/blatant-why/resume)
Your own site
<a href="https://agentmods.dev/commands/001tmf/blatant-why/resume"><img src="https://agentmods.dev/badge/commands/001tmf/blatant-why/resume.svg" alt="Measured on agentmods" height="20"></a>
Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,409 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 5.1 $0.00012 $0.01409
Opus 5 $0.00006 $0.00705
Sonnet 5 $0.00002 $0.00282
Haiku 4.5 $0.00001 $0.00141

Measured 6d ago against content hash 7f216f14b71a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

by:resume 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 6d 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.

templates/.claude/commands/by/resume.md · 173 lines

How it starts

The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/resume -- Resume Campaign from Last Checkpoint

Resume an interrupted or failed campaign from its most recent checkpoint.

Instructions

This command reads checkpoint files to determine exactly where the campaign stopped, then dispatches the appropriate agent to continue from that point.

Step 1: Find the campaign directory

CAMPAIGN_DIR=$(cat .by/active_campaign 2>/dev/null || echo "")

If no active campaign is set, scan .by/campaigns/ for the most recently modified campaign directory. If multiple campaigns exist, list them and ask the user which one to resume.

Step 2: Read checkpoint files

Scan $CAMPAIGN_DIR/checkpoints/ for checkpoint files. They are named by phase with numeric prefix for ordering:

checkpoints/
  00_draft.json           -- campaign created
  01_configured.json      -- plan approved, parameters set
  02_designing.json       -- jobs submitted (includes job_ids)
  03_design_complete.json -- results received
  04_screening.json       -- screening started
  05_screening_complete.json -- scores computed
  06_ranking.json         -- composite scores computed
  07_complete.json        -- campaign done

Identify the latest checkpoint file (highest numeric prefix). This is the resume point.

Step 3: Read checkpoint contents

Each checkpoint file contains:

{
  "phase": "designing",
  "timestamp": "2026-03-24T15:00:00Z",
  "campaign_id": "pd-l1-20260324-150000",
  "completed_actions": ["research", "plan_approval", "job_submission"],
  "pending_actions": ["monitor_jobs", "collect_results"],
  "job_ids": ["by_boltzgen_abc123"],
  "partial_results": {
    "designs_received": 5,
    "designs_expected": 20,
    "designs_scored": 3
  },
  "next_action": "poll_job_status",
  "agent_to_dispatch": "by-design",
  "resume_context": "Jobs submitted to Tamarind. 5/20 designs returned before interruption."
}

Step 4: Build resume plan

Present the resume plan to the user:

------------------------------------------------------
 BY > RESUME CAMPAIGN
------------------------------------------------------

**Campaign:** {campaign_id}
**Last checkpoint:** {phase} ({timestamp})
**Interrupted at:** {resume_context}

**Completed phases:**
{for each completed_action: "  * {action}"}

**Resume action:** {next_action}
**Agent:** {agent_to_dispatch}

**Partial results (if any):**
- Designs received: {designs_received}/{designs_expected}
- Designs scored: {designs_scored}

------------------------------------------------------
> Type "go" to resume, or describe adjustments
------------------------------------------------------

Read the full file on GitHub · 173 lines

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. 6d ago First seen · 173 lines · 12 tokens per session scan A 7f216f14b71a

Subscribe to this mod's changes

by:resume is a command published in the GitHub repository 001TMF/blatant-why (114 stars, last pushed 20d ago), licensed MIT. It adds 12 tokens to every session and 1,409 once invoked, about $0.0001 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 2026-08-30.