PM Skills is a collection of plain-Markdown instructions that teach AI assistants structured methods for handling professional, personal, and life-admin tasks. People use it with Claude, ChatGPT, Gemini, Cursor, Codex, and other supported agents for work such as writing product requirements, reviewing documents, or planning difficult situations.
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/mohitagw15856/pm-claude-skillsWrote 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/rules/mohitagw15856/pm-claude-skills/the-time-capsule)<a href="https://agentmods.dev/rules/mohitagw15856/pm-claude-skills/the-time-capsule"><img src="https://agentmods.dev/badge/rules/mohitagw15856/pm-claude-skills/the-time-capsule/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/rules/mohitagw15856/pm-claude-skills/the-time-capsule"><img src="https://agentmods.dev/badge/rules/mohitagw15856/pm-claude-skills/the-time-capsule.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 | $0.00093 | $0.01244 |
| Opus 5 | $0.00046 | $0.00622 |
| Sonnet 5 | $0.00019 | $0.00249 |
| Haiku 4.5 | $0.00009 | $0.00124 |
Grade A, and why
the-time-capsule 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 12d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The Time Capsule Skill
Handover docs describe systems; nobody writes down the thing successors actually need — what you believed and how sure you were. A time capsule is a memo with a seal date and an open date: the honest state of things, named predictions with confidence levels, the advice you'd whisper across time — and a scoring ritual, because a prediction you never score is just a mood. It's calibration infrastructure wearing an emotionally sticky costume, and it works on future-you exactly as well as on a successor.
What This Skill Produces
- The capsule memo: honest state, the things-nobody-writes-down (fragile truces, bodies buried, bets in flight), and advice offered with humility
- A prediction ledger: 5–10 falsifiable predictions, each with a confidence percentage, a resolution date, and its scoring criterion
- The seal: open-on date and trigger ("when you're considering rewriting the billing system, open early")
- An opening-day ritual: how to score the ledger and what to do with what it reveals — feeds [[decision-journal]] and, at 90 days, dovetails with [[manager-first-90-days]] for role handovers
Required Inputs
Ask for (if not already provided):
- Who opens it (successor, future you, the team) and roughly when (a date, or a trigger event)
- The occasion: leaving, project end, year-end, pre-leave
- The current state as they'd tell a trusted friend — including what's fragile, what's pretending to be fine, and what they'd do next if they stayed
- The calls they're least sure about (those become the best predictions)
Process
- Write the state honestly. Three registers: what's working (and why, which is what actually breaks), what's fragile (the truce with team X, the vendor coasting on goodwill), what's pretending (the metric everyone quotes that no longer means anything). The rule: nothing in the capsule the writer wouldn't want quoted back — it will be, on opening day, by them.
- Extract falsifiable predictions. Convert beliefs to scoreable claims: "the migration lands by Q3" → "Migration in production by Sept 30 — 70%." Each gets: claim, confidence %, resolution date, and what counts as true (settle the scoring argument now, not later). Push for at least two predictions the writer is uncomfortable writing — those carry the calibration signal.
- Give advice as bets, not commandments. "If X happens, I'd do Y, because Z" ages well; "never reorganize the platform team" ages into a dare. Include one "permission slip" — the thing the successor will hesitate to change that the writer hereby blesses changing.
- Seal it properly. Open-on date + early-open triggers + where it lives (a file with the date in its name; calendar reminder for the opener). Note what the writer commits to NOT doing: editing it after sealing.
- Script opening day. Score each prediction right/wrong/unresolvable · compute the honest hit rate vs stated confidence · one paragraph: "what would past-me be surprised by?" · log the misses worth learning from in [[decision-journal]]. Then — the ritual's point — write the next capsule.
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.
- 12d ago First seen · 108 lines · 93 tokens per session scan A b662625e1765
the-time-capsule is a cursor rule published in the GitHub repository mohitagw15856/pm-claude-skills (1,352 stars, last pushed 3d ago), licensed MIT. It adds 93 tokens to every session and 1,244 once invoked, about $0.0005 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 2026-08-30.
Other cursor rules, from other repositories
cursor
Always-on my-adhd-caveman. Off with "stop adhd-caveman" or "normal mode".
ponytail
Ponytail, lazy senior dev mode. Always pick the simplest solution that works.
angular-20
This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.
dev-standard
Apache Superset development standards and guidelines for Cursor IDE.
cli-error-handling
CLI command error handling patterns.
prefer-direct-imports-over-module-mocks
Prefer extracting a testable core over vi.mock / vi.resetModules when unit tests need to reach production logic entangled with config, env, or singletons.