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 terrylica/cc-skills --skill firecrawl-research-patternsgit clone --depth 1 https://github.com/terrylica/cc-skillsWrote 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/terrylica/cc-skills/firecrawl-research-patterns)<a href="https://agentmods.dev/skills/terrylica/cc-skills/firecrawl-research-patterns"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/firecrawl-research-patterns/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/terrylica/cc-skills/firecrawl-research-patterns"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/firecrawl-research-patterns.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 | $0.07236 |
| Opus 5 | $0.00015 | $0.03618 |
| Sonnet 5 | $0.00006 | $0.01447 |
| Haiku 4.5 | $0.00003 | $0.00724 |
Grade C, and why
firecrawl-research-patterns scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
| | h′(t)\\displaystyle h^{\\prime}(t) | \=𝑨h(t)+𝑩x(t)\\displaystyle=\\bm{A}h(t)+\\bm{B}x(t) | | (1a) | ``` No `$...$` delimiters — **GitHub cannot render this as math**. The raw LaTeX portion is parseable by an L Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sS -X POST https://api.firecrawl.dev/v2/scrape \ How it starts
The opening of the file, as written. The whole thing — 586 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Firecrawl Research Patterns
Programmatic patterns for using Firecrawl in research workflows — search, scrape, route academic papers, run recursive deep research, and persist raw results for future re-analysis.
Use the public Firecrawl API. There is no self-hosted instance. POST https://api.firecrawl.dev/v2/scrape answers without an API key, which covers the low-volume, occasional conversions this repo actually does. Rate limits and queueing are acceptable — do not stand up a private deployment to avoid them.
For archiving AI chat conversations (ChatGPT/Gemini shares), see Skill(gh-tools:research-archival).
Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.
FIRST — TodoWrite Task Templates
MANDATORY: Select and load the appropriate template before any research work.
Intent routing — AI chat share URLs (chatgpt / gemini / claude)
AI chat share URLs (chatgpt.com/share/*, chat.openai.com/share/*, gemini.google.com/share/*, g.co/gemini/share/*, claude.ai/share/*, claude.ai/chat/*) can be processed by either this skill or Skill(gh-tools:research-archival). Pick by intent, not URL pattern:
| Your intent | Skill | Output |
|---|---|---|
| One-off read / extract conversation text for analysis | This skill — public API (Sec. 1) | Markdown file on Caddy; no frontmatter, no Issue, no provenance. |
| Long-term archive with identity verification, frontmatter, GitHub Issue cross-link | Skill(gh-tools:research-archival) |
docs/research/YYYY-MM-DD-{slug}-{type}.md + issue with Discovery Provenance. |
| Already have the file, just need to scrape extra content into the same corpus file | This skill | Append-mode workflow under your control. |
What ships with it
5 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.
- 4d ago Changed 3b485697f207
- 10d ago First seen · 586 lines · 30 tokens per session scan C 57495ae6c6a5
firecrawl-research-patterns is a skill published in the GitHub repository terrylica/cc-skills (72 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 7,236 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (hidden instructions, 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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