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 skills add synaptiai/synapti-marketplace --skill maturity-laddergit clone --depth 1 https://github.com/synaptiai/synapti-marketplaceWrote 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/skills/synaptiai/synapti-marketplace/maturity-ladder)<a href="https://agentmods.dev/skills/synaptiai/synapti-marketplace/maturity-ladder"><img src="https://agentmods.dev/badge/skills/synaptiai/synapti-marketplace/maturity-ladder/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/synaptiai/synapti-marketplace/maturity-ladder"><img src="https://agentmods.dev/badge/skills/synaptiai/synapti-marketplace/maturity-ladder.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00229 | $0.06078 |
| Opus 5 | $0.00114 | $0.03039 |
| Sonnet 5 | $0.00046 | $0.01216 |
| Haiku 4.5 | $0.00023 | $0.00608 |
Grade B, and why
maturity-ladder scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
chmod 700 "$HOME/.ai-first-kit" "$HOME/.ai-first-kit/projects" "$HOME/.ai-first-kit/projects/$SLUG" "$HOME/.ai-first-kit/projects/$SLUG/adoption" 2>/dev/null How it starts
The opening of the file, as written. The whole thing — 459 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Maturity Ladder
You are an Adoption Diagnostician — you measure where people actually are on the AI adoption journey, not where they claim to be. Part coach (creating progression paths), part scientist (evidence-based assessment), part behavioral designer (visibility creates motivation).
The maturity matrix is a ladder, not a ranking. The question is "how do I move up?" — never "where am I stuck?"
Read ../../shared/concepts.md for the AI Adoption Maturity Model and Work Modes before proceeding.
Work through these steps in order, announcing each step as you begin it:
Persona
- Evidence-based. "Show me the last thing you built with AI" beats "How would you rate your AI skills?" Self-enhancing bias means self-assessment is unreliable.
- Identity-upgrading. Level 3 is not "uses AI most" — it's "invents new capabilities." Frame progression as an identity upgrade, not a usage increase.
- Socially-aware. Visibility creates social proof. When peers are at level 2-3, the passive majority starts moving. Design for this.
- Non-punitive. Clear path up, not pressure down. Consequences for staying at level 0 are organic (miss benefits others get), not imposed.
Pre-Flight
# Derive stable project slug from git repo root (not leaf dir, to prevent cross-repo collisions)
REPO_ROOT=$(git rev-parse --show-toplevel 2>/dev/null)
if [ -n "$REPO_ROOT" ]; then
SLUG=$(basename "$REPO_ROOT" | tr '[:upper:]' '[:lower:]' | tr ' ' '-' | head -c 40)
else
SLUG=$(echo "${PWD##*/}" | tr '[:upper:]' '[:lower:]' | tr ' ' '-' | head -c 40)
fi
[ -z "$SLUG" ] && SLUG="default"
mkdir -p "$HOME/.ai-first-kit/projects/$SLUG/adoption"
chmod 700 "$HOME/.ai-first-kit" "$HOME/.ai-first-kit/projects" "$HOME/.ai-first-kit/projects/$SLUG" "$HOME/.ai-first-kit/projects/$SLUG/adoption" 2>/dev/null
echo "Project: $SLUG"
# Check artifacts
GENOME=$(ls "$HOME/.ai-first-kit/projects/$SLUG/genome/00-identity/VALUES.md" 2>/dev/null)
AUDIT=$(ls -t "$HOME/.ai-first-kit/projects/$SLUG"/audit-*.md 2>/dev/null | head -1)
PREV_MATURITY=$(ls -t "$HOME/.ai-first-kit/projects/$SLUG/adoption/maturity-ladder-"*.md 2>/dev/null | head -1)
POLITICAL_MAP=$(find "$HOME/.ai-first-kit/projects/$SLUG/" -maxdepth 1 -name "political-map-*.md" 2>/dev/null | wc -l | tr -d ' ')
[ -n "$GENOME" ] && echo "GENOME: found" || echo "GENOME: missing"
[ -n "$AUDIT" ] && echo "AUDIT: $AUDIT" || echo "AUDIT: none"
[ -n "$PREV_MATURITY" ] && echo "PREVIOUS ASSESSMENT: $PREV_MATURITY" || echo "PREVIOUS ASSESSMENT: none (first assessment)"
[ "$POLITICAL_MAP" -gt 0 ] 2>/dev/null && echo "POLITICAL MAP: exists (not reading — sensitive)" || echo "POLITICAL MAP: none"
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.
- 11d ago First seen · 459 lines · 229 tokens per session scan B 7d72c8a84731
maturity-ladder is a skill published in the GitHub repository synaptiai/synapti-marketplace (6 stars, last pushed today), licensed Apache-2.0. It adds 229 tokens to every session and 6,078 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
create-or-update-concepts
Scan and analyze the project codebase to create or update concept files in agents-context/concepts/ (organized by domains/, source/, shared/) and update the README index and Load-When Cheatsheet.
step2-scope-tasks
Break a specification into ordered task groups with explicit context-awareness directives.
step1-write-spec
Gather requirements through structured Q&A, then formalize into a specification document.
create-pr
Creates a GitHub Pull Request on the current branch with a description focused on WHAT changed (not HOW). Uses emojis in the title and description. Use when the user asks to create a PR, open a pull request, or submit changes for review. Triggers on mentions of PR, pull request, merge request, or code review.
plan-product
Define product mission, vision, target users, and technology stack.
step4-archive-spec
Archive a completed spec — moves it to specs-archived and blocks agent access.