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 ljucask/pureinn-product-development --skill pm-reconcile-statusgit clone --depth 1 https://github.com/ljucask/pureinn-product-developmentWrote 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/ljucask/pureinn-product-development/pm-reconcile-status)<a href="https://agentmods.dev/skills/ljucask/pureinn-product-development/pm-reconcile-status"><img src="https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-reconcile-status/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/ljucask/pureinn-product-development/pm-reconcile-status"><img src="https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-reconcile-status.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 | $0.00077 | $0.01312 |
| Opus 5 | $0.00039 | $0.00656 |
| Sonnet 5 | $0.00015 | $0.00262 |
| Haiku 4.5 | $0.00008 | $0.00131 |
Grade A, and why
pm-reconcile-status 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 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.
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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PM - Reconcile Status
Agent mode (--agent)
Supports --agent: runs autonomously in a subagent, drafts the artifact from existing inputs, and returns a short summary + coverage note.
- No flag → interactive (default); if inputs are heavy, offer agent mode.
--agent→ obey. First check inputs are complete. Anything missing: do NOT invent it - mark[ASSUMED - what/why]in the output and summary. Never hallucinate to fill a gap.
What this skill does
A read-only dashboard for a reconciliation rebuild driven by pm-reconcile. Because reconciliation runs across multiple sessions, this skill answers "where are we" at a glance: which areas are done, what is next, and which divergences still need a human ruling. It writes nothing.
Run it whenever you return to a reconcile in progress, before deciding what to do next.
Dependencies
pm-reconcileplan exists:reconcile/reconciliation_plan.mdandstate.json reconcile.areas[].
If no plan exists, do not guess. Tell the user:
No reconciliation plan found. Run /pm-reconcile first to inspect the docs and build the plan.
Step 1: Read state
Read state.json reconcile (machine source of truth for status) and reconcile/reconciliation_plan.md (area definitions). If they disagree, trust state.json and note the drift. Read reconcile/reconciliation_report.md to count and list open divergences (DIV-NN rows with no ruling, and any "Open questions for the team"). If a reconcile.verify block exists, read it (and coverage_report.md if present) to report disposal readiness.
Step 2: Render the dashboard
RECONCILE STATUS - [Product Name]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Scope: [domain-by-domain / whole product] Policy: [source-of-truth policy]
Progress: [X]/[N] areas done
# AREA TARGET STATUS BATCHES DIV OPEN
1 domain domain/entities.md ✓ done 1/1 0
2 rules business_rules.md + decision_models ▸ in_progress 2/5 2
3 features features/feature_list.md · pending - -
NEEDS A TEAM DECISION (open divergences)
DIV-03 [rules] refund window: doc 14d vs code 30d - decide fix code / update rule
[open question from report]
SOURCE DISPOSAL (verify gate)
[not run yet / ⚠️ not safe - 4 gaps, 2 DIV open / ✅ safe to archive - covered 100%]
NEXT
▸ /pm-reconcile rules (resumes at batch 3/5 - completed batches are not redone)
then /pm-reconcile features
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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 · 105 lines · 77 tokens per session scan A 0dd425e18640
pm-reconcile-status is a skill published in the GitHub repository ljucask/pureinn-product-development (2 stars, last pushed yesterday), licensed MIT. It adds 77 tokens to every session and 1,312 once invoked, about $0.0004 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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