instar CLAUDE.md

instar CLAUDE.md is an instructions file for coding agents from JKHeadley/instar. It costs 5,924 tokens per session, scanned B, original, MIT.

Project instructions for Instar, a toolkit that adds scheduled jobs, messaging, system monitoring, and persistent state to AI-agent sessions. They describe its architecture, safeguards, commands, and tests.

In plain words
What is it for?
They are for building, testing, and extending session management, state handling, scheduling, messaging, monitoring, and protected file and Git operations.
Why use it?
They help contributors understand how the agent infrastructure is organized and how to change it safely.

Instructions file

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 instructions/jkheadley/instar/claude-md
Clone the repo
git clone --depth 1 https://github.com/JKHeadley/instar

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 instar CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/jkheadley/instar/claude-md.svg)](https://agentmods.dev/instructions/jkheadley/instar/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/jkheadley/instar/claude-md"><img src="https://agentmods.dev/badge/instructions/jkheadley/instar/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 5,924 This file is loaded in full into every session.
When invoked 5,924 The same file — it is already loaded in full.
Security scan B 3 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 $0.05924 $0.05924
Opus 5 $0.02962 $0.02962
Sonnet 5 $0.01185 $0.01185
Haiku 4.5 $0.00592 $0.00592

Measured 5d ago against content hash b934a91ddcdc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

instar CLAUDE.md scanned grade B with 3 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 5d 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.

Sends data to an external URLmediumData exfiltration

A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.

- Create: `curl -X POST http://localhost:4040/view -H 'Content-Type: application/json' -d '{"title":"Report","markdown":"# Private content"}'`

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

1. **API endpoints** — Add to the Capabilities section with curl examples

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

# execFileSync/execSync callsites replaced; enforces audit trail),
CLAUDE.md · 357 lines

How it starts

The opening of the file, as written. The whole thing — 357 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md — instar

What This Project Is

Persistent autonomy infrastructure for AI agents. Every molt, more autonomous.

Transforms Claude Code from a reactive CLI tool into a proactive, persistent agent with scheduled jobs, multi-user messaging, and system monitoring.

Born from the Dawn/Portal project — extracting battle-tested infrastructure patterns into a reusable, project-agnostic toolkit.

Quick Reference

pnpm build            # Build TypeScript
pnpm dev              # Watch mode build
pnpm test             # Unit tests
pnpm test:watch       # Watch mode tests
pnpm test:integration # Integration tests (spawns real sessions)

Architecture

src/
  core/           # SessionManager, StateManager, Config, FeedbackManager,
                  # UpdateChecker, RelationshipManager, SleepWakeDetector,
                  # SourceTreeGuard (blocks destructive managers against the instar
                  # source tree; throws SourceTreeGuardError before any mutation),
                  # SafeGitExecutor (single-funnel for all destructive git ops —
                  # execFileSync/execSync callsites replaced; enforces audit trail),
                  # SafeFsExecutor (single-funnel for all destructive fs ops —
                  # rmSync/unlinkSync/rmdirSync callsites replaced; enforces audit trail),
                  # PendingInjectStore (durable ledger of in-flight initial-message
                  # injects — queued messages survive server restarts; recorded at
                  # spawn, cleared after the inject runs, swept at boot by
                  # SessionManager.recoverPendingInjects with loud loss reporting),
                  # types
  scheduler/      # Cron-based job scheduling with quota awareness
  monitoring/     # Health checks, QuotaTracker (threshold-based load shedding),
                  # CrashLoopPauser (auto-pause runaway jobs),
                  # CompactionSentinel (verified compaction recovery lifecycle —
                  # dedupe across triggers, JSONL-growth verification, retry with
                  # backoff, zombie-kill veto while recovery is in flight),
                  # PresenceProxy (standby heartbeat — fires when a user message
                  # goes unanswered past the tier threshold),
                  # PromiseBeacon (commitment follow-through — cadenced heartbeats
                  # on open beacon-enabled commitments; atRisk non-terminal state;
                  # boot-cap enforcement via maxActiveBeacons),
                  # CommitmentTracker (commitment lifecycle + single-writer CAS
                  # mutate(); feeds PromiseBeacon and /commitments/* routes),
                  # LlmQueue (rate-limited, priority-laned LLM call queue shared
                  # across PresenceProxy and PromiseBeacon; enforces daily spend cap),
                  # SessionWatchdog (stuck-process detection + escalating kill
                  # sequence; watchdog-notifications for user-facing messages),
                  # HelperWatchdog (stall + failure detection for spawned subagents
                  # via SubagentTracker events; signal-only: emits `stall` and
                  # `helper-failed` events; consumers handle retry/messaging),
                  # DeliveryFailureSentinel (Telegram relay recovery engine — drains
                  # PendingRelayStore, deterministic state machine, fixed-template
                  # escalation after retry exhaustion; Layer 3 of delivery-robustness),
                  # TemplatesDriftVerifier (verifies deployed relay scripts against
                  # shipped instar versions via SHA-history lint; Layer 7 of
                  # delivery-robustness),
                  # TokenLedger (read-only token-usage observability — scans Claude
                  # Code JSONL transcripts, SQLite-backed, exposes /tokens/summary
                  # and /tokens/sessions; never gates or mutates source files),
                  # TokenLedgerPoller (background JSONL scanner that feeds TokenLedger;
                  # tracks byte offsets per file so re-scans are idempotent)
  messaging/      # TelegramAdapter (long-polling, JSONL history),
                  # WhatsAppAdapter, SlackAdapter, iMessage (platform adapters);
                  # TelegramMarkdownFormatter (GFM→HTML for Telegram; default
                  # 'markdown' — flip to 'legacy-passthrough' in .instar/config.json
                  # for byte-for-byte rollback; per-call `_formatMode: 'html'` opt-out
                  # for callers already producing Telegram HTML),
                  # slack/SlackMrkdwnFormatter (GFM→mrkdwn for Slack; default
                  # 'mrkdwn' — flip to 'legacy-passthrough' in the slack messaging
                  # config block for byte-for-byte rollback; per-call
                  # `formatMode: 'legacy-passthrough'` opt-out for callers already
                  # producing mrkdwn),
                  # MessageRouter (topic → adapter routing),
                  # DeliveryRetryManager (retry on failed delivery),
                  # PendingRelayStore (durable SQLite queue for Telegram relay;
                  # per-agent-id isolation; WAL + busy_timeout; Layer 2 of
                  # delivery-robustness),
                  # SpawnRequestManager (cross-session spawn coordination),
                  # MessageStore (cross-platform message persistence)
  users/          # Multi-user identity resolution and permissions
  server/         # HTTP server, routes, middleware (auth, CORS)
  scaffold/       # Identity bootstrap, template file generation
  commands/       # CLI: init, setup, server, status, user, job, add, feedback
  templates/      # Default hook scripts, helper scripts for scaffolding
tests/
  unit/           # Pure logic tests (no tmux/sessions)
  integration/    # Full system tests (may spawn real sessions)
  e2e/            # End-to-end lifecycle tests
  fixtures/       # Test data and mock repos

Read the full file on GitHub · 357 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. 5d ago First seen · 357 lines · 5,924 tokens per session scan B b934a91ddcdc

Subscribe to this mod's changes

instar CLAUDE.md is an instructions file published in the GitHub repository JKHeadley/instar (77 stars, last pushed yesterday), licensed MIT. It adds 5,924 tokens to every session, about $0.0296 per session on Opus 5. A static security scan graded it B with 3 findings (sends data to an external url, makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.