Borrowing it
Nothing to install: this file belongs to zkysar1/Claude-Mind. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/zkysar1/Claude-Mind/main/.claude/skills/strategic-pulse/SKILL.mdgit clone --depth 1 https://github.com/zkysar1/Claude-MindWrote 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/zkysar1/claude-mind/strategic-pulse)<a href="https://agentmods.dev/skills/zkysar1/claude-mind/strategic-pulse"><img src="https://agentmods.dev/badge/skills/zkysar1/claude-mind/strategic-pulse/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/zkysar1/claude-mind/strategic-pulse"><img src="https://agentmods.dev/badge/skills/zkysar1/claude-mind/strategic-pulse.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 | $0.00059 | $0.01239 |
| Opus 5 | $0.00030 | $0.00620 |
| Sonnet 5 | $0.00012 | $0.00248 |
| Haiku 4.5 | $0.00006 | $0.00124 |
Grade A, and why
strategic-pulse 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/strategic-pulse — Portfolio-Shape Decision Surface
Closes the gap between what the agent computes (portfolio state, work-class distribution, aspiration ages) and what the user can ACT on (which 3 to close, whether to rebalance, whether the queue is stalled). The data already exists; this skill makes it visible without the user having to ask.
Origin: LifingPolls plan item 10 (2026-05-08).
Distinct from:
/priority-review— user-pull dashboard for re-ranking active aspirations/backlog-report— full sprint planning material/agent-completion-report— what changed since last status marker/fresh-eyes-review— meta-review (Self + Program correctness)/felt-sense-checkin— autonomous structured 7-lane self-audit
This skill is the proactive strategic surface: "if I were your
strategist, here's what I'd flag." Auto-fires on cadence (every 50
completed goals via aspirations-precheck) AND on user demand (/strategic-pulse).
Detectors
Four orthogonal portfolio-shape patterns:
-
tail_consolidation — N+ active aspirations at high completion ratio. Surfaces consolidation pressure: finishing 3 vs starting 3 new produces compounding learning. Triggers at 5+ aspirations ≥75% complete.
-
work_class_skew — One work_class is severely over-represented vs its target (
core/config/aspirations.yaml § class_balance.targets). Triggers when actual ≥ 2× target. Suggests rebalancing or revisiting target fractions. -
aged_aspirations — Active aspirations with no goal completions in 60+ days. Likely stalled or paused-without-decision. Triggers on any match.
-
idle_aspirations — Active aspirations with ALL goals blocked or deferred — zero actionable work. Triggers on any match.
Phase 0: Load Conventions
Step 0: Bash: load-conventions.sh with each name from conventions: (none for this skill).
Phase 1: Detect Patterns
Bash: py -3 core/scripts/strategic-pulse-detectors.py --json
The script reads world + agent aspiration state, runs all four detectors, and emits a JSON list of pattern records. Empty list = portfolio looks healthy; emit a "no notable patterns" message and return.
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 · 127 lines · 59 tokens per session scan A b550be3a7fbc
strategic-pulse is a skill published in the GitHub repository zkysar1/Claude-Mind (5 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 1,239 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.
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