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.
git clone --depth 1 https://github.com/synaptiai/synapti-marketplaceWrote 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/commands/synaptiai/synapti-marketplace/analyze)<a href="https://agentmods.dev/commands/synaptiai/synapti-marketplace/analyze"><img src="https://agentmods.dev/badge/commands/synaptiai/synapti-marketplace/analyze/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/commands/synaptiai/synapti-marketplace/analyze"><img src="https://agentmods.dev/badge/commands/synaptiai/synapti-marketplace/analyze.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 | $0.00021 | $0.00924 |
| Opus 5 | $0.00010 | $0.00462 |
| Sonnet 5 | $0.00004 | $0.00185 |
| Haiku 4.5 | $0.00002 | $0.00092 |
Grade A, and why
analyze 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze Content for Manipulation
Perform full NCI (Narrative Credibility Index) manipulation analysis on content.
Context Isolation: This command invokes the
nci-manipulation-analysisskill which runs in a forked context. The heavy analysis work is performed in isolation, keeping the main conversation clean while still returning comprehensive results.
Arguments
$ARGUMENTS: The content to analyze - can be a URL, text, or file path.
Workflow
-
Detect Input Type
- If starts with
http://orhttps://→ Use WebFetch to retrieve content - If starts with
/or./→ Use Read tool to get file contents - Otherwise → Treat as direct text content
- If starts with
-
Load NCI Methodology
- Read the
nci-analysisskill from this plugin'sskills/directory - Follow the complete 20-category analysis workflow
- Read the
-
Score All 20 Categories Each category scored 1-5 with evidence:
Emotional Manipulation (5 categories)
- Base emotional triggers, urgency, novelty, repetition, manufactured outrage
Suspicious Timing (3 categories)
- Timing correlation, beneficiary analysis, historical parallels
Uniform Messaging (3 categories)
- Message uniformity, bandwagon effects, rapid shifts
Tribal Division (3 categories)
- Us-vs-them framing, simplistic narratives, false dilemmas
Missing Information (6 categories)
- Context gaps, authority issues, dissent suppression, cherry-picking, fallacies, framing
-
Calculate Scores
- Compute 5 composite factors (weighted averages)
- Calculate overall 0-100 score
-
Generate Dual Perspectives
- Manipulative interpretation with confidence
- Legitimate interpretation with confidence
-
Output Full Report Markdown format with:
- Overall score and severity indicator
- Composite factor breakdown
- Top manipulation indicators with evidence
- Both perspectives
- Full 20-category details
Example Usage
/analyze https://example.com/news/article
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.
- 9d ago First seen · 122 lines · 21 tokens per session scan A d41bd79656f3
analyze is a command published in the GitHub repository synaptiai/synapti-marketplace (6 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 21 tokens to every session and 924 once invoked, about $0.0001 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.
Other commands, from other repositories
create-worktree
Follow these steps to create a git worktree.
paper-trail-review
Review and arbitrate problematic references (cascade-exhausted, unresolved UID, awaiting OCR). Generates an up-to-date report, walks through cases by category, and applies arbitration decisions to the registry.
paper-trail-new-paper
Start writing an academic paper (IMRaD structure) on a topic, with anti-hallucination citation verification at every step. Builds on existing audited SOTAs.
paper-trail-registry-cleanup
Nettoyage historique du registre des fiches bibliographiques (les 900 fiches existantes). Cible les vieilles fiches mal nommées (0000, untitled) ET les duplicates avec suffixes numériques (foo2020bar2, 234) qui sont des artefacts de runs INGEST passés. Délègue les décisions au sub-agent textbook-resolver. Les merge…
paper-trail-linkify
Dernière passe du pipeline cible refondu. Insère les wikilinks finaux dans le SOTA (vers PDF si validé, sinon vers ancre dans une section ## Statut des sources régénérée idempotemment en bas du fichier). Présuppose que les passes identify/purge/acquire ont été lancées.
paper-trail-cascade
Acquire PDFs via the 8-source cascade (11 with opt-in extended sources) for a single ref by slug, or a batch filtered by state. Validates page 1 anti-homonymy on each download.