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/danielmiessler/lifeos/bitterpillengineeringnpx skills add danielmiessler/LifeOS --skill bitterpillengineeringgit clone --depth 1 https://github.com/danielmiessler/LifeOSWrote 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/danielmiessler/lifeos/bitterpillengineering)<a href="https://agentmods.dev/skills/danielmiessler/lifeos/bitterpillengineering"><img src="https://agentmods.dev/badge/skills/danielmiessler/lifeos/bitterpillengineering.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 | $0.00150 | $0.01985 |
| Opus 5 | $0.00075 | $0.00992 |
| Sonnet 5 | $0.00030 | $0.00397 |
| Haiku 4.5 | $0.00015 | $0.00198 |
Grade A, and why
BitterPillEngineering scanned grade A with 1 finding 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 4d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST http://localhost:31337/notify \ 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.
Customization
Before executing, check for user customizations at:
~/.claude/LIFEOS/USER/CUSTOMIZATIONS/SKILLS/BitterPillEngineering/
If this directory exists, load and apply any PREFERENCES.md, configurations, or resources found there. These override default behavior. If the directory does not exist, proceed with skill defaults.
Voice Notification
When executing a workflow, do BOTH:
-
Send voice notification:
curl -s -X POST http://localhost:31337/notify \ -H "Content-Type: application/json" \ -d '{"message": "Running the WORKFLOWNAME workflow in the BitterPillEngineering skill to ACTION"}' \ > /dev/null 2>&1 & -
Output text notification:
Running the **WorkflowName** workflow in the **BitterPillEngineering** skill to ACTION...
BitterPillEngineering
What It Does
Audits any AI instruction set for over-prompting. It runs every rule through Five Questions — does Claude already do this, does it contradict another rule, is it redundant, was it a one-off fix, is it vague — then classifies each as CUT, RESOLVE, MERGE, EVALUATE, SHARPEN, MOVE, or KEEP, with an estimate of the tokens you'd save. Two workflows: Audit (full system) and QuickCheck (single file).
The Problem
Instruction sets accumulate. Every time the model does something wrong, someone adds a rule, and over months the file fills with instructions that restate default behavior, contradict each other, or fixed one bad output that never recurred. The cost is hidden: every unnecessary rule competes for attention and degrades the rules that actually matter, so a bloated setup produces worse output than a lean one. The hard part is telling load-bearing rules from dead weight — which is what this audit does, rule by rule.
How It Works
Built on the principle that less scaffolding = better output. The core test for every rule: "Would a smarter model make this unnecessary?" If yes, it's scaffolding, not architecture, and it's a candidate to cut. The Five Questions and the classification table below drive the verdict for each rule.
What ships with it
2 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.
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.
- 4d ago First seen · 161 lines · 150 tokens per session scan A c4d2145eb91b
BitterPillEngineering is a skill published in the GitHub repository danielmiessler/LifeOS (18,872 stars, last pushed 20d ago), licensed MIT. It adds 150 tokens to every session and 1,985 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
echo-plugins
Build, validate, package, and stage optional Echo plugins using the Echo Plugin API v1 security and lifecycle contracts.
browser-spa-framework
Architecture/conventions for the Echo browser SPA: Go stdlib server :3740, Vite-built TS+JS SPA (embedded web/dist), JSON envelope, WebSocket hub, chat tool loop, shared appdata echo.json, internal/tools registry, tool-generated media transport (Phase 0/1), and the file-browser image/video/audio preview surface…
global-notifications
How Echo surfaces cross-surface/cross-tab alerts to the user: global WebSocket broadcasts (chatcompleted, planquestionsawaiting) mirrored by frontend notification modules that play sounds, show OS/browser Notifications, and deep-link on click.
writing-tests
Write unit tests, component tests, and integration tests for AiderDesk using Vitest and React Testing Library. Use when creating new tests, adding test coverage, configuring mocks, setting up test files, or debugging failing tests.
reddit-snipe
Reddit 截流。在 coding agent / Claude Code / AI dev tool 的高互动帖下，以 pikiloom builder 身份自动发现→起草→自我批判→护栏→（按 posture）发布英文 peer 评论，并记录+度量。English-first。话术统一来自 promo/pitch.md；可由 promo/orchestrate.md 无人值守驱动。.
lc-curate-context
Decide which files a task actually needs, record that as a reusable llm-context rule, verify it against the codebase - including the files your selection references but leaves out - and pack it for your own context, a chat, or a sub-agent you dispatch. Load when choosing what code to put in front of a model, packing…