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/create-aspiration/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/create-aspiration)<a href="https://agentmods.dev/skills/zkysar1/claude-mind/create-aspiration"><img src="https://agentmods.dev/badge/skills/zkysar1/claude-mind/create-aspiration/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/create-aspiration"><img src="https://agentmods.dev/badge/skills/zkysar1/claude-mind/create-aspiration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00218 | $0.15444 |
| Opus 5 | $0.00109 | $0.07722 |
| Sonnet 5 | $0.00044 | $0.03089 |
| Haiku 4.5 | $0.00022 | $0.01544 |
Grade A, and why
create-aspiration 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 6d 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 — 1,206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/create-aspiration — Self-Driven Aspiration Creation
Creates aspirations aligned with the agent's Self (core purpose). Three modes:
- from-user: Parse user's natural language into aspirations + goals
- from-self: Autonomous generation — "Given Self and current state, what's needed?"
--plan: Full planning cycle: introspective scan + Self-grounded web research + structured deliberation
- from-followup: Fast-path capture of in-flight observations that deserve dedicated follow-through. One aspiration with a single exploratory seed goal ("Design implementation plan and file sub-goals under this aspiration"). No introspective scan, no web research, no interestingness filter, no priority-review. Sprint scope, MEDIUM priority. Fires when the agent catches itself saying "I'll note this for later" during goal execution — invoke IMMEDIATELY with the observation text.
Invocation Patterns
| Call Pattern | Behavior |
|---|---|
from-self (default) |
5-phase introspective scan (A, A.5, B, C, D). |
from-self --plan |
Full planning cycle: introspective scan + Self-grounded web research + structured deliberation |
from-self with context params |
Context is available — the LLM decides how much introspective scanning to add. No flag needed. |
from-followup "<text>" |
Fast-path: 1 aspiration + 1 exploratory seed goal. Skips Steps 1.5, 1.7, 2–8.6. Sprint scope + MEDIUM priority by default. Optional --source-goal g-XXX-YY stamps origin_signal with the goal being executed. Returns in under a second. |
Called By
/start(first boot or backfill — user's initial aspirations)/aspirations evolve(replacement aspirations, gap analysis uses--plan)/aspirationsPhase 0.5 health (uses--planwhen below minimum)/aspirationsPhase 2 alignment check (uses--planwhen alignment data suggests it)/aspirationsPhase 2 no-goals fallback (uses--plan)/aspirationsPhase 7 archival (uses--planwhen aspiration completes)/aspirations-sparksq-013 (passesdiscovery_context, auto-detected)/aspirations-consolidate(passesbatch_context, auto-detected)/responddirective routing (user says "add aspiration about X")- Agent self-observation during goal execution (Phase 4 — "I'll note this for later" / "worth investigating" trigger →
from-followupfast-path)
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.
- 6d ago Changed · +109 lines cdcff6bd29c5
- 9d ago First seen · 1,097 lines · 218 tokens per session scan A 677e345ed193
create-aspiration is a skill published in the GitHub repository zkysar1/Claude-Mind (5 stars, last pushed yesterday), licensed MIT. It adds 218 tokens to every session and 15,444 once invoked, about $0.0011 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
hive.browser-automation
Required before any hive-browser CLI command. The browser is driven from the terminal by running hive-browser ... --json via terminalexec — not via MCP tools. Teaches the browser lifecycle rules (the bridge attaches to the USER'S running Chrome — never kill or launch browser processes; timeouts are transport issues…
hive.worker-delegation
Concrete patterns for breaking colony work into parallel worker jobs via runplaybook — when fan-out helps, how to model the goal as a tracker table, write the worker skill, author the playbook, pilot, and let convergence retry/resume the gap.
hive.linkedin-automation
Read before automating LinkedIn with browser tools. LinkedIn combines shadow DOM (#interop-outlet), strict Trusted Types CSP that silently drops innerHTML, Lexical composer, native beforeunload dialogs that hang the bridge, and aggressive spam filters — each has bitten us at least once. Verified flows for profile…
hive.x-automation
Read before automating X / Twitter with browser tools. Verified flows for post, reply, delete, search-and-engage, plus the Draft.js compose quirks that silently disable the send button. Includes the daily-reply and job-market-reply playbooks. Requires hive.browser-automation for the underlying screenshot + coordinate…
hive.slack-notifications-setup
Set up a Slack notification channel (Sentinel) for a colony by driving the browser — reuse or create the "Hive Sentinel" Slack app from a JSON manifest, install it, capture the bot + app tokens, create/select the channel via the Slack API, and turn Sentinel on so the colony can ping the user on Slack and accept…
hive.writing-hive-skills
Author a new Agent Skill for a Hive agent that conforms to the Agent Skills specification (SKILL.md with YAML frontmatter, optional scripts/references/assets directories). Use when the user asks to create, scaffold, add, or package a new skill for a Hive agent.