grow

A personal learning workflow that reviews your saved profile, observations, history, and approved sources to find one useful thing to read next. It is designed as a recurring feedback loop.

In plain words
What is it for?
Use it to discover reading material related to your growth goals and review past recommendations or learning history.
Why use it?
It narrows a larger set of possible learning opportunities into a single recommendation based on your existing context. It can also report when it is not ready to run.

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/jackguo709/devloop/grow
Any agent
npx skills add jackguo709/devloop --skill grow
Clone the repo
git clone --depth 1 https://github.com/jackguo709/devloop

Made for: Claude Code, Codex.

Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,885 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 $0.00016 $0.01885
Opus 5 $0.00008 $0.00942
Sonnet 5 $0.00003 $0.00377
Haiku 4.5 $0.00002 $0.00188

Measured yesterday against content hash f4550e46307f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

grow 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 yesterday.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/check-grow-ready.sh, scripts/detect-stack.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.claude/skills/grow/SKILL.md · 209 lines

How it starts

The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Context

DEVLOOP_DIR="$HOME/.devloop"
PROFILE="$DEVLOOP_DIR/profile.md"
mkdir -p "$DEVLOOP_DIR/observations"
[ -f "$PROFILE" ] && echo "PROFILE_EXISTS=true" || echo "PROFILE_EXISTS=false"
echo "DEVLOOP_DIR=$DEVLOOP_DIR"
if [ -f "$HOME/.devloop/scripts/check-grow-ready.sh" ]; then
  bash "$HOME/.devloop/scripts/check-grow-ready.sh" --context 2>/dev/null
else
  echo "GROW_AVAILABLE=true"
fi

Routing

If PROFILE_EXISTS=false, read onboarding.md and follow its instructions.

If PROFILE_EXISTS=true:

  • No arguments or empty $ARGUMENTS:
    • If GROW_AVAILABLE=false: respond with the value of COOLDOWN_MSG as plain text and stop. Do not read any other files.
    • Otherwise → read run.md and follow its instructions
  • $ARGUMENTS = "me" → read me.md and follow its instructions
  • $ARGUMENTS = "history" → read history.md and follow its instructions

Find Content

ONLY use content from sources listed in sources.md. Run this entire section silently.

Step 1: Target

Read profile.md, observations, and history.jsonl. Identify 3-5 growth opportunities, ranked with reasoning. Don't search yet. For each:

  • Which concept(s) it addresses
  • Impact: A 0-1 concept or recurring cross-domain pattern from Deep Patterns? Does fixing this unlock progress in other domains? A tool that eliminates their current approach? Generally: product direction > tools/workflow > approach > skill gaps, but not rigid. Mindset-level feedback is the most personal and requires established trust.
  • Readiness: Is the user bumping into this right now, or is it important in the abstract? A user mid-build may need building advice. A user who just shipped may need distribution advice.
  • Pacing: Repeat topics from history.jsonl only if strategic. Think twice before pushing topics where past recommendations were ignored.

Step 2: Explore

Two parallel Sonnet subagents. They explore wide and return a menu of candidates, not a committed topic:

Read the full file on GitHub · 209 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. yesterday First seen · 209 lines · 16 tokens per session scan A f4550e46307f

Subscribe to this mod's changes

grow is a skill published in the GitHub repository jackguo709/devloop (2 stars, last pushed 4mo ago), licensed MIT. It adds 16 tokens to every session and 1,885 once invoked, about $0.0001 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.

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