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.
npx skills add Cody-W-Tucker/Cognitive-Assistant --skill decision-ready-not-impressivegit clone --depth 1 https://github.com/Cody-W-Tucker/Cognitive-AssistantWrote 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/cody-w-tucker/cognitive-assistant/decision-ready-not-impressive)<a href="https://agentmods.dev/skills/cody-w-tucker/cognitive-assistant/decision-ready-not-impressive"><img src="https://agentmods.dev/badge/skills/cody-w-tucker/cognitive-assistant/decision-ready-not-impressive/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/cody-w-tucker/cognitive-assistant/decision-ready-not-impressive"><img src="https://agentmods.dev/badge/skills/cody-w-tucker/cognitive-assistant/decision-ready-not-impressive.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 | $0.00030 | $0.00262 |
| Opus 5 | $0.00015 | $0.00131 |
| Sonnet 5 | $0.00006 | $0.00052 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
decision-ready-not-impressive 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 11d 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.
What it actually says
When To Use
Load this when material must be handed to a decision-maker, collaborator, operator, or future self and the goal is clarity of choice rather than display of intelligence.
The skill owns packaging for handoff or decision: making the state of the work legible, bounded, and actionable.
Do Not Use
Do not use this to choose the next mode, force action from analysis, simplify the underlying system, diagnose failure, or calibrate emotional tone. It packages a decision surface; it does not create one from scratch.
What To Do
- State the decision, recommendation, or handoff question in plain terms.
- Strip context that does not change the choice.
- Surface the tradeoff, risk, owner, and acceptance threshold.
- Prefer a clear option set over an impressive narrative.
- Mark assumptions and unresolved questions so the recipient can act without inheriting hidden complexity.
Output Shape
Return a decision-ready packet: recommendation or options, rationale, risks, owner, next step, and proof threshold.
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.
- 11d ago First seen · 26 lines · 30 tokens per session scan A ea93c4df0481
decision-ready-not-impressive is a skill published in the GitHub repository Cody-W-Tucker/Cognitive-Assistant (11 stars, last pushed 24d ago), licensed Apache-2.0. It adds 30 tokens to every session and 262 once invoked, about $0.0002 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.
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