by-campaign-manager

by-campaign-manager is a skill for Claude Code from 001TMF/blatant-why. It costs 4 tokens per session (8,865 once invoked), scanned A, original, MIT.

A manager for protein and antibody design campaigns, where a campaign is a planned series of design and screening runs. It handles planning, progress tracking, resource estimates, recovery, and assessment.

In plain words
What is it for?
It is for sizing new campaigns, choosing compute resources, tracking stages, resuming interrupted runs, monitoring results, and coordinating related runs.
Why use it?
It keeps multi-step experiments organized and makes it easier to decide whether to continue, pause, or repeat work.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions CLAUDE.md; mentions subagents; positional $N argument.

Good fit It is for sizing new campaigns, choosing compute resources, tracking stages, resuming interrupted runs, monitoring results, and coordinating related runs.

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Install with agentmods
npx agentmods add skills/001tmf/blatant-why/by-campaign-manager
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.

Any agent
npx skills add 001TMF/blatant-why --skill by-campaign-manager
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-campaign-manager

README.md
[![agentmods](https://agentmods.dev/badge/skills/001tmf/blatant-why/by-campaign-manager/github.svg)](https://agentmods.dev/skills/001tmf/blatant-why/by-campaign-manager)
Your own site
<a href="https://agentmods.dev/skills/001tmf/blatant-why/by-campaign-manager"><img src="https://agentmods.dev/badge/skills/001tmf/blatant-why/by-campaign-manager/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.

agentmods 80×15 button for by-campaign-manager

Your own site · 80×15
<a href="https://agentmods.dev/skills/001tmf/blatant-why/by-campaign-manager"><img src="https://agentmods.dev/badge/skills/001tmf/blatant-why/by-campaign-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 4 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,865 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 490
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
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 $0.00004 $0.08865
Opus 5 $0.00002 $0.04432
Sonnet 5 $0.00001 $0.01773
Haiku 4.5 $0.00000 $0.00886

Measured 12d ago against content hash df19cc808724, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

by-campaign-manager 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 12d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/estimate_campaign.py, scripts/track_progress.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/skills/by-campaign-manager/SKILL.md · 746 lines

How it starts

The opening of the file, as written. The whole thing — 746 lines — stays where its author put it; the contents beside it link to each section on GitHub.

BY Campaign Manager

Plan, execute, monitor, and assess protein/antibody design campaigns. This skill governs how to size a campaign, track run state, coordinate multi-run efforts, estimate cost and time on each compute target (local GPU, HPC, Tamarind), monitor progress, and evaluate campaign health.


When to Use This Skill

Use this skill when you need to:

  • Start a new design campaign — size designs/scaffolds, pick modality, choose compute tier
  • Track run state through the campaign state machine (draft → configured → designing → screening → ranked → submitted)
  • Estimate cost and time before launching (local GPU hours, HPC $/hr, Tamarind credits)
  • Resume an interrupted campaign from the last checkpoint without re-doing work
  • Assess mid-run health — pass rate trajectory, score distributions, abort/continue decisions
  • Coordinate multi-run efforts — vary one parameter axis at a time, aggregate cross-run results
  • Decide when to iterate — low pass rate, poor scores, insufficient diversity

Don't use this skill for:

  • ❌ Target research and epitope mapping → use by-research
  • ❌ Submitting individual jobs or scoring single designs → use by-design / by-screening
  • ❌ Lab submission gating → use by-lab (triple-gated)
  • ❌ HPC infrastructure setup → use by-deploy-compute
  • ❌ Sequence/structure clustering for diverse panels → use by-diversity

Quick Start

A typical campaign launch from the planner sub-agent:

# 1. Capture user preferences (modality, tier, scaffolds)
/by:plan-campaign

# 2. Estimate cost on each compute target before approval
python scripts/estimate_campaign.py \
  --target PD-L1 \
  --modality vhh \
  --tier standard \
  --scaffolds 2

# 3. Initialize campaign state and launch design phase
#    (delegate via Task(by-design, ...))

# 4. Monitor mid-run
python scripts/track_progress.py \
  --campaign-dir campaigns/pdl1/campaign_20260520_001

Expected estimate_campaign.py output: cost table for local / HPC RunPod / Tamarind, with wall-clock hours and confidence intervals.

Read the full file on GitHub · 746 lines

Files

What ships with it

5 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.

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. 12d ago First seen · 746 lines · 4 tokens per session scan A df19cc808724

Subscribe to this mod's changes

by-campaign-manager is a skill published in the GitHub repository 001TMF/blatant-why (114 stars, last pushed 26d ago), licensed MIT. It adds 4 tokens to every session and 8,865 once invoked, about $0.0000 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.