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 SerhiiKorniienko/bullshit-detector --skill summarizegit clone --depth 1 https://github.com/SerhiiKorniienko/bullshit-detectorWrote 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/serhiikorniienko/bullshit-detector/summarize)<a href="https://agentmods.dev/skills/serhiikorniienko/bullshit-detector/summarize"><img src="https://agentmods.dev/badge/skills/serhiikorniienko/bullshit-detector/summarize/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/serhiikorniienko/bullshit-detector/summarize"><img src="https://agentmods.dev/badge/skills/serhiikorniienko/bullshit-detector/summarize.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 | $0.00074 | $0.00417 |
| Opus 5 | $0.00037 | $0.00209 |
| Sonnet 5 | $0.00015 | $0.00083 |
| Haiku 4.5 | $0.00007 | $0.00042 |
Grade A, and why
summarize 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
summarize
Give someone the content without the runtime.
Workflow
- Get the text. If the input is a URL and the
fetch-contentskill is installed, use its script; otherwise use your web fetch tool or ask for a paste. Keep the metadata. - Read fully, then write:
# <title>
**<author> · <platform> · <date> · <duration/length> · <views if notable>**
**TLDR:** one paragraph, ≤3 sentences — the actual thesis, not the topic.
## Key points
Bulleted. Each point = one idea, with [timestamp] or [p.N] so the
reader can jump to it. Preserve the content's own structure (if it
promises "14 ways", list all 14 — compressed, not truncated).
## Notable quotes
1–3 verbatim quotes that carry the content's voice, with locations.
## Worth your time?
One honest sentence per audience: who gains from the full version,
who is fine with this summary.
Rules
- Summarize what the content says, not what you think of it (that's the
bullshit-detectorskill — mention it if the content smells hyped, don't perform its job here). - Numbers, names, and claims must come from the content verbatim — no rounding, no "improving".
- If the content is listicle-shaped, the summary must contain the complete list. Never "...and 9 more ways".
- Scale length to source: a tweet gets 3 lines, a 3-hour podcast gets a full page.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 40 lines · 74 tokens per session scan A b7cbcadddd00
summarize is a skill published in the GitHub repository SerhiiKorniienko/bullshit-detector (142 stars, last pushed 8d ago), licensed MIT. It adds 74 tokens to every session and 417 once invoked, about $0.0004 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.
Other skills, from other repositories
cred1
Look up domain credibility scores using the CRED-1 open dataset. Use when checking if a news source or website is reliable, flagged as misinformation, or has credibility concerns.
fact-check-social-media-posts
Verify claims in social media posts by checking evidence, evaluating source independence, and flagging rhetorical fallacies.
secure-auth
Secure authentication patterns (OWASP, NIST). Use for login, registration, password reset, sessions, JWT, OAuth, MFA, passkeys.
academic-writing
Scholarly writing and research compliance. Use for CRediT, preregistration, Plan S, Nelson Memo, preprints, ORCID, LLM disclosure.
page-monitoring
Web page change detection, availability tracking, and RSS feed generation. Use to monitor changes, downtime, or make a feed.
web-archiving
Web archiving and retrieval via Wayback Machine and Archive.today. Use to preserve content, reach dead pages, or save evidence.