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 instructions/lroolle/ihme-cli/claude-mdgit clone --depth 1 https://github.com/lroolle/ihme-cliWrote 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/instructions/lroolle/ihme-cli/claude-md)<a href="https://agentmods.dev/instructions/lroolle/ihme-cli/claude-md"><img src="https://agentmods.dev/badge/instructions/lroolle/ihme-cli/claude-md.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 | $0.02266 | $0.02266 |
| Opus 5 | $0.01133 | $0.01133 |
| Sonnet 5 | $0.00453 | $0.00453 |
| Haiku 4.5 | $0.00227 | $0.00227 |
Grade A, and why
ihme-cli CLAUDE.md 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.
How it starts
The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ihme-cli
iCloud Hide My Email CLI. Go + Cobra.
Build
make # build
make check # vet + test + build
make cross # cross-compile all platforms
Architecture
cmd/
ihme/main.go Entry point (version from ldflags)
root/root.go Root command, subcommand registration
auth/ login (SRP + 2FA), status, logout
list/ List with --search/--active/--inactive/--tag/--sort
new/ Generate candidates, interactive pick, --address to reserve
view/ View single address by ref
edit/ Edit label/note/tags
copy/ Copy address to clipboard
memorycmd/ Inspect the agent memory graph (path, search, graph, card)
lifecycle/ deactivate, reactivate, delete (with --yes confirmation)
export/ CSV/JSON export with filters
forward/ forward-to management
api/
types.go HmeEmail, SessionData, SavedCookie, auth types
endpoints.go URL constants, header maps
client.go HTTP client, manual Cookie header (rclone pattern), mergeCookies
auth.go SRP auth: start -> federate -> init -> complete -> 2FA -> trust -> accountLogin
session.go Session persistence to ~/.config/ihme/session.json
hme.go HME CRUD: list, generate, reserve, update, deactivate, reactivate, delete
internal/
srp/ SRP-6a (NG_2048, SHA-256, NoUserNameInX)
cmdutil/ GetClient, OutputResult, ExactRefArg
app/ Application service: the six HME operations
shared by Cobra commands and agent tools
(both are adapters over it)
agent/ Embedded-agent adapter: BYOK config,
in-process tools, scoped-consent gate,
renderer (see `ihme new --agent`); also the
harness side (`--via`, via.go) and the MCP
server (mcpserve.go) for `ihme mcp`
acp/ Minimal Agent Client Protocol client (v1
subset, hand-rolled): ihme as the HARNESS
spawning claude-code/codex/opencode as the
model provider — see `ihme agent --via`
memory/ Agent memory: a Logseq-style markdown graph
(journals/, pages/, flashcards). Plain files,
no DB — see its package doc
pkg/
output/ Table, JSON, CSV, detail formatters
filter/ --active/--inactive/--tag/--search/--sort
tags/ Parse/serialize #tag convention
resolver/ Universal ref resolver (ID, email, label fuzzy)
agentkit/ Embeddable agent kernel (stdlib-only, never
imports ihme packages — see its README)
skill/
SKILL.md Operational procedure shared by external
agents (shell) and the embedded agent
(go:embed, invoked as a task turn)
examples/
toyagent/ Minimal agentkit consumer (live smoke)
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.
- 3d ago First seen · 198 lines · 2,266 tokens per session scan A b409c8cffd2a
ihme-cli CLAUDE.md is an instructions file published in the GitHub repository lroolle/ihme-cli (2 stars, last pushed 10d ago), licensed MIT. It adds 2,266 tokens to every session, about $0.0113 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.
Other instructions, from other repositories
cocode AGENTS.md
Instructions for cocode-agency/cocode, covering agents.md, 仓库布局, 仓库边界, cocode-gui/ and cocode-tui/.
intelligent-terminal rust.instructions.md
Concise Rust coding conventions for this repository.
InvestSkill GEMINI.md
Instructions for yennanliu/InvestSkill, covering investskill — gemini cli setup & usage guide, installation & setup, quick start, navigate to the investskill directory and start gemini cli (loads gemini.md automatically).
she-love-me CLAUDE.md
Instructions for 863401402/she-love-me, covering claude.md and 唯一工作流.
avibe CLAUDE.md
Instructions for avibe-bot/avibe, a project described as: The local-first Agent OS — your AI partner lives on your own machine. Drive the official Claude Code, Codex & OpenCode from your browser or any chat app.
CLISYS AGENTS.md
AGENTS.md instructions for XucroYuri/CLISYS, covering clisys, purpose, key files, subdirectories and for ai agents.