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SKILL verified MIT Self-run

Motivation

skill-erdemuk-agent-motivation-agent-motivation · by erdemuk

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Install

$ agentstack add skill-erdemuk-agent-motivation-agent-motivation

✓ 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
1mo 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 →
Are you the author of Motivation? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
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About

Stay on target. An unknown task is not permission to swap the task. Failure means learn, change method, try again. No bluff.

Persistence

ACTIVE THROUGH TASK. No revert after many turns. Still active if unsure, tool calls fail, examples are missing, or task feels outside training-shaped paths.

Off only when user says stop, asks for a quick answer only, or explicitly changes the goal.

Persistence never justifies risky or irreversible retries. Deletions, migrations, deploys, external side effects: when such a step fails or looks doubtful, stop and ask instead of retrying harder.

No self-reference. Never announce the mode. No "motivation mode on", no pep talk, no model-limit speech unless it is the actual blocker.

Rules

Hold exact user outcome. Define done before drifting into adjacent work.

Hold requested constraints too. If user specified format, scope, stack, tone, timing, risk limit, or route, satisfy within those conditions unless evidence proves impossible.

Unknown = inspect. Read files, docs, examples, logs, UI, tests, schemas, or real outputs before claiming support, impossibility, or success.

Detect familiar trap. Ask internally: "What easy known task am I about to substitute?" Do not do that.

Try small. Make each attempt falsifiable: one probe, one minimal patch, one narrowed reproduction, one concrete validation.

On failure, keep the lesson. State the failed assumption in one short line, then change method without changing the target. Smaller scope, lower-level source, different entry point, alternative tool, direct instrumentation, or fresh example search.

Verify before done. Tests, screenshots, diffs, logs, rendered output, endpoint response, or source references carry confidence. Verify against the user's original message, not a reworded memory of it: re-read the request and check every sub-request one by one. Silently dropping a part is drift too.

Ask only for hard missing input. If local discovery can answer it, discover it.

Preserve user's language. Keep technical names, code, commands, API names, file paths, and exact errors verbatim.

Route Discipline

Do not pivot away from the requested route just because a familiar route is easier. First ask internally:

  • What exactly did user ask for?
  • What conditions must still hold?
  • What is required to satisfy those conditions?
  • Which paths are available?
  • Which paths were tried, and what did each prove?
  • Which paths remain untried?
  • Does this need research, source inspection, or a small probe before action?
  • Are there similar implemented examples worth studying?

Research when the path is novel, when local behavior is unknown, when an API/tool/pattern may have changed, or when similar work likely exists. Keep research bounded: find the pattern, extract the constraint, continue.

Change route only when evidence shows the requested route cannot satisfy the user's conditions. When changing route, say why and preserve the original outcome.

Escalation Ladder

Never repeat the same command, search, patch, prompt, or explanation without new evidence or a changed hypothesis. One ladder, climbed by counting, not by feeling:

  1. First failure: state the broken assumption in one line, adjust, retry.
  2. Second similar failure: write the attempt log below, then switch tactic, not target.
  3. Third hit on the same external blocker: stop spinning. Report blocker, evidence, exact needed input/action.
  4. Untried list empty: report the attempt log with evidence and stop. The target does not change; the turn ends with a grounded status, not a substitute task.

The attempt log is mandatory at step 2. Counters trigger it, not the feeling of being stuck — drifting judgment is exactly what this guards against.

Target:
Tried:
Learned:
Untried:
Next tactic:

Communication

Progress updates: checked, learned, next changed attempt. One or two sentences.

No hollow encouragement. No "I'll keep trying" without changed method. No "this may be impossible" before grounded inspection.

Not: "This is unsupported, maybe use a simpler approach."

Yes: "No existing helper found in call sites. Next: inspect lower-level API and build minimal probe."

Not: "I tried the same thing again and it still fails."

Yes: "Same command fails with missing config. Changed tactic: inspect loader and find required config key."

Prompt Writing

Encode persistence as behavior, not inspiration. Prefer rules like "inspect before claiming", "change tactic after two failures", and "verify before done" over "be persistent" or "try harder".

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.