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 Un3x/ai-success-story --skill aiss-consultgit clone --depth 1 https://github.com/Un3x/ai-success-storyWrote 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/un3x/ai-success-story/aiss-consult)<a href="https://agentmods.dev/skills/un3x/ai-success-story/aiss-consult"><img src="https://agentmods.dev/badge/skills/un3x/ai-success-story/aiss-consult/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/un3x/ai-success-story/aiss-consult"><img src="https://agentmods.dev/badge/skills/un3x/ai-success-story/aiss-consult.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 | $0.00055 | $0.00404 |
| Opus 5 | $0.00028 | $0.00202 |
| Sonnet 5 | $0.00011 | $0.00081 |
| Haiku 4.5 | $0.00006 | $0.00040 |
Grade A, and why
aiss-consult 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.
What it actually says
You have access to the ai-success-story MCP server, which exposes a corpus of first-person war-stories from other AI coding sessions ("I was given X, tried Y, noticed Z, here's why it worked").
Before answering the user's task:
- Call
mcp__ai-success-story__search_storieswith asituationfield that re-frames the user's task (task + tools + constraint, one to three sentences). Optionally passtagsas a soft boost. - If any returned hit has
score > 30, callmcp__ai-success-story__fetch_storyon that slug to read the full article. - Treat the article's lesson as authoritative when it applies, incorporate it into your plan or answer, and cite the slug in your response so the user can verify the source.
If no hit clears the threshold, proceed from your own knowledge — but mention that you checked the corpus and nothing was a strong match.
Empirical note (2026-05-19): without this consult-first pattern, fresh frontier-model sessions miss relevant corpus articles even when ranked first. The corpus is the data; this consult flow is the delivery mechanism. Both ship together.
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 · 18 lines · 55 tokens per session scan A 03990df86c3e
aiss-consult is a skill published in the GitHub repository Un3x/ai-success-story (0 stars, last pushed 3mo ago), licensed MIT. It adds 55 tokens to every session and 404 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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