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.
git clone --depth 1 https://github.com/VandanaAjayDubey111/great-pmWrote 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/commands/vandanaajaydubey111/great-pm/pm-resume)<a href="https://agentmods.dev/commands/vandanaajaydubey111/great-pm/pm-resume"><img src="https://agentmods.dev/badge/commands/vandanaajaydubey111/great-pm/pm-resume/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/commands/vandanaajaydubey111/great-pm/pm-resume"><img src="https://agentmods.dev/badge/commands/vandanaajaydubey111/great-pm/pm-resume.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 | $0.00037 | $0.00629 |
| Opus 5.5 | $0.00015 | $0.00252 |
| Sonnet 5.5 | $0.00007 | $0.00126 |
| Haiku 4.5 | $0.00004 | $0.00063 |
Grade A, and why
pm-resume scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 18d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the great-pm /pm-resume command. Orient the human after a break or after Claude compacts the context.
Operating procedure
-
Step 0 — refine the user's query (transparent Mode B). Invoke
query-refiner-pmwith$ARGUMENTS. The refiner returns:You typed: <original> Refined to: <refined brief> What changed: <one line> Proceeding with refined. Reply "use original" to override.Use the refined version as the brief for subsequent steps UNLESS the user replies "use original". Log the refinement to
.great-pm/refinements/$(date +%Y-%m-%d).log. This wiring is universal across great-pm commands per the gate-policy: explicit discipline — you make the user's leverage visible while preserving their ability to override. -
Read
.great-pm/HANDOFF.md. If missing →BLOCKEDwith: "No HANDOFF.md yet. The PreCompact hook auto-saves it; if it never fired, run /pm-inbox to see current state." -
Summarize what HANDOFF.md says:
- Branch + last commit + uncommitted file count
- Open gates (with IDs)
- Latest agent verdict (DONE / BLOCKED)
- Latest drafts
-
Check for
.learn-pendingmarker:[ -f .great-pm/.learn-pending ] && echo "LESSONS_PENDING"If pending → recommend
/pm-savefirst. -
Recommend next action based on state:
- Lessons pending → run
/pm-saveto capture, then/pm-inbox. - Open gates →
/pm-inboxto review the decision packages. - Active initiative mid-stage → tell pm-lead to continue: "advance ".
- Nothing open →
/pm-start "..."to kick off the next one.
- Lessons pending → run
Output shape
great-pm resume
Last session: <date> (<branch>)
Last commit: <hash> <subject>
Uncommitted: <N> files
Open gates: <count>
- <gate-id>: <one-line>
Latest verdict: <agent> | <DONE | BLOCKED> | <subject>
Next: <recommended action — concrete command>
Reporting
- DONE:
DONE: resumed — <one-line summary>. next: <command to run>. - BLOCKED: when HANDOFF.md is unreadable AND no PROJECT.md exists.
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.
- 18d ago First seen · 71 lines · 37 tokens per session scan A 0da1903e91e1
pm-resume is a command published in the GitHub repository VandanaAjayDubey111/great-pm (3 stars, last pushed 18d ago), licensed MIT. It adds 37 tokens to every session and 629 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-21.
Other commands, from other repositories
scout-meta-review
Run an interactive Scout meta-review — a system-level audit that sits above the individual session types. Checks whether sessions are running, mistake audit is trending well, proposals are flowing, KB files are healthy, and data-source coverage is consistent across session types. Runs in the current conversation.
scout-work
Interactive work session — walks through today's actionable items one at a time, presents a recommended action with draft content, and executes each one only with explicit approval. Runs in the current conversation (not as a background session).
attune
AI-powered developer workflows with Socratic discovery.
bulk
Batch API processing with 50% cost savings.
migrate
Use when the user invokes /goal-flight migrate to preview and import existing markdown task lists into Goal Flight draft task-store items.
dashboard
Starts the live web dashboard for the current fellowship — quest/scout progress, gate approvals, and event history — in the background, and prints the URL.