hindsight-architect

hindsight-architect is a skill for Claude Code, Codex from vectorize-io/hindsight. It costs 35 tokens per session (9,188 once invoked), scanned A, original, MIT.

A planning guide for designing Hindsight memory for an application. Hindsight is a memory system that stores and recalls useful project information for coding work.

In plain words
What is it for?
Use it to plan memory banks, labels, and the code changes needed to add Hindsight to an application. It produces an implementation plan rather than code.
Why use it?
It turns a general need for project memory into a concrete design, so developers know what information to store and how to organise it.

Skill for Claude CodeCodex

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 skills/vectorize-io/hindsight/hindsight-architect
Any agent
npx skills add vectorize-io/hindsight --skill hindsight-architect
Clone the repo
git clone --depth 1 https://github.com/vectorize-io/hindsight

Made for: Claude Code, Codex.

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 hindsight-architect

README.md
[![agentmods](https://agentmods.dev/badge/skills/vectorize-io/hindsight/hindsight-architect.svg)](https://agentmods.dev/skills/vectorize-io/hindsight/hindsight-architect)
Your own site
<a href="https://agentmods.dev/skills/vectorize-io/hindsight/hindsight-architect"><img src="https://agentmods.dev/badge/skills/vectorize-io/hindsight/hindsight-architect.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,188 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 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 $0.00035 $0.09188
Opus 5 $0.00017 $0.04594
Sonnet 5 $0.00007 $0.01838
Haiku 4.5 $0.00003 $0.00919

Measured 4d ago against content hash 02863c500c9e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

hindsight-architect 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 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.

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.

skills/hindsight-architect/SKILL.md · 859 lines

How it starts

The opening of the file, as written. The whole thing — 859 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hindsight Memory Architect

You are an expert Hindsight memory architect. You understand the user's application, figure out what memory should do for them, and design a memory architecture. You produce an implementation plan, not code.

This skill produces a memory implementation plan. The plan is designed so a developer or coding agent can execute it step by step.

Preamble (run first)

# Hindsight skill preamble - detect environment and existing config
_HS_VERSION="0.1.0"
_BRANCH=$(git branch --show-current 2>/dev/null || echo "unknown")
_PROJECT=$(basename "$(git rev-parse --show-toplevel 2>/dev/null)" 2>/dev/null || basename "$(pwd)")

# Detect existing Hindsight configuration
_HS_CONFIGURED="no"
_DEPLOY_MODE="unknown"

# 1. Project-level signals first (most specific)
# Check project .env for Hindsight cloud URL
if [ -f .env ] && grep -q "api.hindsight.vectorize.io" .env 2>/dev/null; then
  _HS_CONFIGURED="yes"
  _DEPLOY_MODE="cloud"
elif [ -f .env ] && grep -q "HINDSIGHT_API_URL" .env 2>/dev/null; then
  _HS_CONFIGURED="yes"
  _DEPLOY_MODE="self-hosted"
fi

# Check project dependencies for SDK type
if [ "$_DEPLOY_MODE" = "unknown" ]; then
  if grep -q "hindsight-all" pyproject.toml requirements*.txt 2>/dev/null; then
    _HS_CONFIGURED="yes"
    _DEPLOY_MODE="local"
  elif grep -q "hindsight-client\|hindsight" pyproject.toml requirements*.txt package.json 2>/dev/null; then
    _HS_CONFIGURED="yes"
    # client SDK could be cloud or self-hosted, don't assume
  fi
fi

# 2. Global CLI config (less specific than project)
if [ "$_DEPLOY_MODE" = "unknown" ] && [ -f ~/.hindsight/config ]; then
  _HS_CONFIGURED="yes"
  if grep -q "api.hindsight.vectorize.io" ~/.hindsight/config 2>/dev/null; then
    _DEPLOY_MODE="cloud"
  else
    _DEPLOY_MODE="self-hosted"
  fi
fi

# 3. Environment variables
if [ "$_DEPLOY_MODE" = "unknown" ]; then
  if [ -n "$HINDSIGHT_API_URL" ]; then
    _HS_CONFIGURED="yes"
    if echo "$HINDSIGHT_API_URL" | grep -q "api.hindsight.vectorize.io"; then
      _DEPLOY_MODE="cloud"
    else
      _DEPLOY_MODE="self-hosted"
    fi
  elif [ -n "$HINDSIGHT_API_DATABASE_URL" ]; then
    _HS_CONFIGURED="yes"
    _DEPLOY_MODE="self-hosted"
  fi
fi

# 4. Installed tools (least specific — just means tool exists on machine)
if [ "$_HS_CONFIGURED" = "no" ]; then
  if command -v hindsight-embed >/dev/null 2>&1; then
    _HS_CONFIGURED="yes"
    [ "$_DEPLOY_MODE" = "unknown" ] && _DEPLOY_MODE="local"
  fi
fi

# Detect existing Hindsight usage in current project
_HAS_EXISTING="no"
if grep -rl "hindsight" --include="*.py" --include="*.ts" --include="*.js" --include="*.json" . 2>/dev/null | head -1 | grep -q .; then
  _HAS_EXISTING="yes"
fi

# Detect project language / framework for SDK selection
_LANGUAGE="unknown"
_FRAMEWORK="unknown"
_HAS_NODE="no"
_HAS_PYTHON="no"

if [ -f package.json ]; then
  _HAS_NODE="yes"
  _LANGUAGE="nodejs"
  # Detect specific frameworks from dependencies
  if grep -q '"next"' package.json 2>/dev/null; then
    _FRAMEWORK="next.js"
  elif grep -q '"react"' package.json 2>/dev/null; then
    _FRAMEWORK="react"
  elif grep -q '"express"' package.json 2>/dev/null; then
    _FRAMEWORK="express"
  elif grep -q '"fastify"' package.json 2>/dev/null; then
    _FRAMEWORK="fastify"
  elif grep -q '"@modelcontextprotocol/sdk"' package.json 2>/dev/null; then
    _FRAMEWORK="mcp"
  fi
fi

if [ -f pyproject.toml ] || [ -f requirements.txt ] || [ -f setup.py ]; then
  _HAS_PYTHON="yes"
  # Only override language if Node wasn't already detected
  if [ "$_LANGUAGE" = "unknown" ]; then
    _LANGUAGE="python"
  fi
  # Detect specific Python frameworks
  if grep -q "fastapi" pyproject.toml requirements*.txt 2>/dev/null; then
    [ "$_FRAMEWORK" = "unknown" ] && _FRAMEWORK="fastapi"
  elif grep -q "flask" pyproject.toml requirements*.txt 2>/dev/null; then
    [ "$_FRAMEWORK" = "unknown" ] && _FRAMEWORK="flask"
  elif grep -q "django" pyproject.toml requirements*.txt 2>/dev/null; then
    [ "$_FRAMEWORK" = "unknown" ] && _FRAMEWORK="django"
  elif grep -q "mcp" pyproject.toml requirements*.txt 2>/dev/null; then
    [ "$_FRAMEWORK" = "unknown" ] && _FRAMEWORK="mcp"
  fi
fi

# Mixed-language project → python takes precedence only if it looks like the primary (has main module)
if [ "$_HAS_NODE" = "yes" ] && [ "$_HAS_PYTHON" = "yes" ]; then
  _LANGUAGE="mixed"
fi

# Infer recommended integration method
_INTEGRATION="unknown"
case "$_LANGUAGE" in
  nodejs) _INTEGRATION="nodejs-sdk" ;;
  python) _INTEGRATION="python-sdk" ;;
  mixed) _INTEGRATION="ask" ;;
esac

# If framework is MCP, override
if [ "$_FRAMEWORK" = "mcp" ]; then
  _INTEGRATION="mcp"
fi

echo "HINDSIGHT_SKILL_VERSION: $_HS_VERSION"
echo "BRANCH: $_BRANCH"
echo "PROJECT: $_PROJECT"
echo "HINDSIGHT_CONFIGURED: $_HS_CONFIGURED"
echo "DEPLOY_MODE: $_DEPLOY_MODE"
echo "HAS_EXISTING_SETUP: $_HAS_EXISTING"
echo "LANGUAGE: $_LANGUAGE"
echo "FRAMEWORK: $_FRAMEWORK"
echo "INTEGRATION: $_INTEGRATION"

Read the full file on GitHub · 859 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. 4d ago First seen · 859 lines · 35 tokens per session scan A 02863c500c9e

Subscribe to this mod's changes

hindsight-architect is a skill published in the GitHub repository vectorize-io/hindsight (22,262 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 9,188 once invoked, about $0.0002 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.

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