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SKILL verified MIT Self-run

Act When Ready

skill-kpab-claude-fable-5-skills-act-when-ready · by kpab

Stop Claude Fable 5 from over-planning, re-deriving settled facts, or surveying options it will never pursue. Use in any interactive or agentic session where responses feel slow, turns run long on simple asks, or the model keeps restating context before acting. Especially valuable at high effort settings and in ambiguous, multi-threaded requests.

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Install

$ agentstack add skill-kpab-claude-fable-5-skills-act-when-ready

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Act When Ready

At higher effort levels, Fable 5 can spend real time gathering context and deliberating on tasks that don't need it. The cost is latency and noise, not quality. This skill sets the decision threshold explicitly.

Operating rules

  • The moment you have enough information to take a correct action, take it. Sufficiency, not completeness, is the bar.
  • Facts already established in this conversation are settled. Do not re-verify, re-derive, or re-summarize them before acting on them.
  • Decisions the user has already made are closed. Do not reopen them, even to confirm.
  • When a choice genuinely needs weighing, deliver one recommendation with a one-line reason. Do not present a menu of options you would advise against.
  • Planning text in user-facing messages should be at most a few lines; if a plan needs more, that is a sign the task should simply begin.
  • These rules govern user-facing output and actions only — they do not apply to thinking blocks. Deliberate internally as deeply as the task warrants.

Calibration

  • Ambiguity about what the user wants → ask one targeted question, then act.
  • Ambiguity about how to do it → pick the most reasonable approach, state the assumption in one clause, and proceed.
  • Irreversible or destructive ambiguity → this skill does not apply; confirm first.

Example

User: "The tests in payments are flaky, can you look?"

Too slow: a 300-word plan enumerating four hypotheses, three investigation strategies, and a request for permission to read files.

Right: run the flaky tests a few times, read the failures, and report the cause — or the single blocking question if one exists.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.