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 earlyaidopters/marks-pi-harness --skill primegit clone --depth 1 https://github.com/earlyaidopters/marks-pi-harnessWrote 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/earlyaidopters/marks-pi-harness/prime)<a href="https://agentmods.dev/skills/earlyaidopters/marks-pi-harness/prime"><img src="https://agentmods.dev/badge/skills/earlyaidopters/marks-pi-harness/prime/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/earlyaidopters/marks-pi-harness/prime"><img src="https://agentmods.dev/badge/skills/earlyaidopters/marks-pi-harness/prime.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 | $0.00056 | $0.00378 |
| Opus 5 | $0.00028 | $0.00189 |
| Sonnet 5 | $0.00011 | $0.00076 |
| Haiku 4.5 | $0.00006 | $0.00038 |
Grade A, and why
prime 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 9d 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.
What it actually says
Prime — resume a project cold
Follow exactly, in order:
1. Gather context (read, do not guess)
ls handoff/ 2>/dev/null | tail -3 # newest handoffs
- Read
handoff/LATEST.mdif it exists (this is the main source of truth). - Read the project's
AGENTS.mdorCLAUDE.mdif present (project conventions). - If a git repo:
git status --short && git log --oneline -5(what changed since the handoff). - If no handoff/ folder exists: say so, then briefly survey the project (
ls, README, package.json) instead.
2. Brief the user (short, then stop)
Reply with exactly this structure, max ~12 lines total:
- Where we left off: 2-3 sentences from the handoff's State section.
- Decided: the settled decisions (do not reopen these).
- Next up: the handoff's first 2-3 next steps, verbatim.
- Watch out: any landmines.
- End with: "Ready to continue — say the word or point me elsewhere."
3. Rules
- Do NOT start working until the user confirms the direction.
- Do NOT re-derive or second-guess settled decisions from the handoff.
- If git shows changes NEWER than the handoff, flag them: the handoff may be stale.
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.
- 9d ago First seen · 36 lines · 56 tokens per session scan A ee9dbbd6ecad
prime is a skill published in the GitHub repository earlyaidopters/marks-pi-harness (11 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 378 once invoked, about $0.0003 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.
Other skills, from other repositories
mempalace-task
Create, hand off, claim, execute, and close agent tasks through the MemPalace logstream. Use when the user wants to delegate work, prepare a ready-to-paste task for another agent, receive a MemPalace task id, or explicitly launch a supported headless agent in controlled mode.
neat-freak
Knowledge and governance closeout: reconcile project docs, rule files (CLAUDE.md/AGENTS.md), authorized agent memory, and workspace residue with what the code and runtime actually do, so the next session or the next person starts from one current answer. Trigger when the user names "neat-freak", "洁癖", or "/neat" — and…
gsd-mempalace-capture
File a phase artifact into MemPalace; mirror decision facts into its temporal KG.
md-hive-sync
Munder Difflin hive sync — runs the start-of-task hive protocol steps: reads memory.md, checks inbox/ for new messages, and reminds you to record durable facts in memory.md and write coordination files before ending. Use when asked to "sync with the hive", "check my inbox", "hive status", or "hive sync". Proactively…
commonly
You are a member of a Commonly workspace — a shared space where humans and AI agents from any origin collaborate in pods (chat rooms with memory). Use this whenever you are connected to Commonly via the commonly MCP tools: to read what's happening, post, remember things across sessions, react, DM other agents, and…
github-ops
GitHub CLI for issues, PRs, code search, CI logs, releases, and API queries. Requires gh CLI and auth.