What makes Chronos notable?

965 downloads. Trust evidence available

How should Chronos be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Chronos

Gives AI coding agents temporal awareness via a hook-backed ledger and decision rules. Activates whenever an agent reasons about recency, retry windows, memory staleness, deploy cooldowns, idle detection, or any "when / how long ago" question. Required for autonomous or long-running agents. Skill: Chronos Owner: othmanadi Summary: Gives AI coding agents temporal awareness via a hook-backed ledger and decision rules. Activates whenever an agent reasons about recency, retry windows, memory staleness, deploy cooldowns, idle detection, or any "when / how long ago" question. Required for autonomous or long-running agents. Tags: latest:0.1.1 Version history: v0.1.1 | 2026-09-02T21:17:13.737Z | auto - Removed

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

965

Updated

Oct 12, 2026

Version

0.1.1

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 965 downloads reported by the source. Last updated 10/12/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 12, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 12, 2026
Adoption signal: 965 downloadsadoption · observed Oct 12, 2026
Latest release: 0.1.1release · observed Sep 2, 2026
Handshake status: UNKNOWNsecurity

What changed

Newest first. Only changes that point at a source are listed.

Release 0.1.1release
- Removed the skill-card.md file. - No changes to functionality or documentation beyond file deletion.
Observed Sep 2, 2026 · source

Install and run

Setup complexity: low.

clawhub skill install s17ds6610wra1m85mmdwy4zja184wyga:chronos-2

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-othmanadi-chronos-2/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

59,974 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: chronos
description: Gives AI coding agents temporal awareness via a hook-backed ledger and decision rules. Activates whenever an agent reasons about recency, retry windows, memory staleness, deploy cooldowns, idle detection, or any "when / how long ago" question. Required for autonomous or long-running agents.
version: 1.0.0
license: MIT
author: OthmanAdi
tags: [time, temporal, autonomy, ledger, agents, hooks, session-management]
homepage: https://aware-bloom-szmt.here.now
repository: https://github.com/OthmanAdi/chronos
allowed-tools: Read, Bash(date *), Bash(stat *), Bash(cat *), Bash(jq *), Bash(ls *), Bash(git log *), Bash(git status *)
---

# Chronos — Time Awareness for Agents

You are not temporally blind. Stop guessing "when" and "how long ago". You have a ledger. Use it.

## What chronos gives you

When the host platform supports hooks (Claude Code, Codex, OpenCode-plugin), chronos populates three sources of truth:

1. **SessionStart baseline** — injected into your context at session start:
   - `now_utc` — ISO-8601 UTC
   - `now_local` — ISO-8601 with offset
   - `tz` — timezone name + offset
   - `ledger` — absolute path to this session's JSONL tool-use ledger
   - `state` — absolute path to this session's state file
   - `session` — session ID

2. **Per-turn delta** — injected on every user message:
   - `now`, `turn`, `session_duration`, `since_last_user`

3. **Tool-use ledger** — JSONL file, one entry per tool invocation:
   - `{tool_use_id, tool, args_hash, started_at, finished_at, duration_ms, success}`

If the host platform does not support hooks (Cursor, Hermes, ADAL, plain skill-only mode), chronos degrades: run `date -u` or `date -Iseconds` at decision points and state explicitly "derived from shell, not ledger".

## When to consult time — 7 triggers

### 1. Before retrying a failed command

Read the ledger for the same `tool` + `args_hash`.

- If the last failure was `< 60s` ago with the same args, **change strategy** — don't re-run identically.
- If `60s – 10min`, consider one retry with a rationale.
- If `> 10min`, circumstances may have changed; re-run is reasonable.

**Deploy cooldowns**: the same rule applies to deployments and pushes. If the last deploy failed under 60s ago, check logs and fix config before re-deploying. Don't re-trigger a broken pipeline without a changed state.

### 2. Before trusting memory, a cached finding, or a prior read

Staleness thresholds by source:

| Source | Stale after | Action when stale |
|---|---|---|
| `git status`, running processes, env vars | 5 min (same session) | Re-query |
| File contents previously Read | 1 hr OR any write to that path since Read | Re-Read |
| Persistent memory (MemPalace, KG facts) | 7 days since last write | Re-verify before use |
| External API responses (prices, PR status, issues) | 5 min | Re-fetch |
| Build/test results | After any source change since that run | Re-run |
| LLM's own prior claim ("earlier I saw...") | Always verify against ledge

installers/adal/README.md

# chronos — ADAL (SylphAI adal-cli)

ADAL supports Agent Skills. Drop SKILL.md into the ADAL skills location (docs at https://docs.sylph.ai/).

## Install

```bash
# path may vary by ADAL version — check docs
mkdir -p ~/.adal/skills/chronos
cp SKILL.md ~/.adal/skills/chronos/SKILL.md
cp AGENTS.md ~/.adal/skills/chronos/AGENTS.md
```

## Degraded mode only

ADAL hook API is not publicly documented. Chronos runs in SKILL-only mode: decision rules + shell fallback (`date -u`).

installers/cursor/README.md

# chronos — Cursor

Cursor has no hooks. SKILL-only degraded mode via `.cursor/rules/chronos.mdc`.

## Install (project)

```bash
mkdir -p .cursor/rules
cp .cursor/rules/chronos.mdc .cursor/rules/chronos.mdc
```

## Install (user global)

```bash
mkdir -p ~/.cursor/rules
cp .cursor/rules/chronos.mdc ~/.cursor/rules/chronos.mdc
```

Rule has `alwaysApply: true` — agent sees it every chat.

## What you get

- Decision rules always in context
- Instructions to run `date -u` + `stat` for time queries

## What you don't get

No ledger, no per-turn delta, no idle detection.

installers/hermes/README.md

# chronos — Hermes (NousResearch)

Hermes injects skills from `~/.hermes/skills/` as user messages. No shell hooks — SKILL-only mode.

## Install

```bash
mkdir -p ~/.hermes/skills/chronos
cp SKILL.md ~/.hermes/skills/chronos/SKILL.md
```

Agent will follow decision rules using shell fallback (`date -u`, `stat`).

## What you get

- Decision rules (7 triggers)
- Shell-fallback time queries

## What you don't get

- Automatic ledger (no hooks)
- Per-turn elapsed inject
- Idle warnings

installers/openclaw/README.md

# chronos — OpenClaw

OpenClaw uses `skills/<name>/SKILL.md` (Agent Skills standard).

## Install

```bash
mkdir -p skills/chronos
cp SKILL.md skills/chronos/SKILL.md
cp AGENTS.md skills/chronos/AGENTS.md
```

## Optional: plugin SDK for ledger

OpenClaw has a plugin-sdk (`openclaw/plugin-sdk`). Time-awareness plugin stub:

```ts
// See openclaw/plugin-sdk docs for full wiring.
// Hook into session + tool events, append to ~/.chronos/ledger-*.jsonl
```

## Degraded mode

SKILL-only works fine. Agent follows decision rules with shell fallback.

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