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 Synaptic-Labs-AI/PACT-Plugin --skill pact-prepare-researchgit clone --depth 1 https://github.com/Synaptic-Labs-AI/PACT-PluginWrote 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/synaptic-labs-ai/pact-plugin/pact-prepare-research)<a href="https://agentmods.dev/skills/synaptic-labs-ai/pact-plugin/pact-prepare-research"><img src="https://agentmods.dev/badge/skills/synaptic-labs-ai/pact-plugin/pact-prepare-research/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/synaptic-labs-ai/pact-plugin/pact-prepare-research"><img src="https://agentmods.dev/badge/skills/synaptic-labs-ai/pact-plugin/pact-prepare-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 149 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 163 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00072 | $0.01852 |
| Opus 5 | $0.00036 | $0.00926 |
| Sonnet 5 | $0.00014 | $0.00370 |
| Haiku 4.5 | $0.00007 | $0.00185 |
Grade A, and why
pact-prepare-research scanned grade A with 1 finding 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -H "Authorization: Bearer YOUR_TOKEN" \ How it starts
The opening of the file, as written. The whole thing — 317 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PACT Prepare Research Methodology
Structured approaches for the Prepare phase of PACT. This skill provides frameworks for systematic research, documentation gathering, and technology evaluation to build a solid foundation before architecture and implementation.
Research Workflow
Phase 1: Define Research Scope
Before starting research, clearly define:
## Research Scope Definition
### Primary Question
What specific problem are we trying to solve?
### Success Criteria
What would make a solution acceptable?
- [ ] Performance requirements
- [ ] Integration requirements
- [ ] Security requirements
- [ ] Budget constraints
### Constraints
What limitations must we work within?
- Technology stack restrictions
- Team expertise
- Timeline
- Licensing requirements
Phase 2: Source Prioritization
Prioritize sources by authority and reliability:
| Priority | Source Type | Examples | Trust Level |
|---|---|---|---|
| 1 | Official documentation | Docs, API references | Highest |
| 2 | Official repositories | GitHub READMEs, wikis | Very High |
| 3 | Maintainer content | Blog posts by core team | High |
| 4 | Community verified | Stack Overflow accepted answers | Medium |
| 5 | Third-party tutorials | Blog posts, videos | Low-Medium |
| 6 | AI-generated content | ChatGPT, Copilot | Verify Required |
Source Verification Checklist:
- Publication date within 12 months (for version-specific info)
- Author has verifiable credentials
- Information matches official docs
- Code examples actually work
Phase 3: Documentation Types to Gather
Collect these documentation types for complete understanding:
1. API References
## API Documentation Checklist
- [ ] Authentication methods
- [ ] Rate limits and quotas
- [ ] Available endpoints
- [ ] Request/response formats
- [ ] Error codes and handling
- [ ] SDK availability
- [ ] Webhook support
2. Configuration Guides
## Configuration Documentation
- [ ] Environment variables
- [ ] Configuration file formats
- [ ] Default values
- [ ] Required vs optional settings
- [ ] Security-sensitive configs
What ships with it
3 files 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.
- 10d ago First seen · 317 lines · 72 tokens per session scan A 609f2d9d688e
pact-prepare-research is a skill published in the GitHub repository Synaptic-Labs-AI/PACT-Plugin (71 stars, last pushed today), licensed MIT. It adds 72 tokens to every session and 1,852 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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