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 gpsaggese/helpers --skill text.merge_content_intogit clone --depth 1 https://github.com/gpsaggese/helpersWrote 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/gpsaggese/helpers/text.merge_content_into)<a href="https://agentmods.dev/skills/gpsaggese/helpers/text.merge_content_into"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/text.merge_content_into/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/gpsaggese/helpers/text.merge_content_into"><img src="https://agentmods.dev/badge/skills/gpsaggese/helpers/text.merge_content_into.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 | $0.00017 | $0.00546 |
| Opus 5.5 | $0.00007 | $0.00218 |
| Sonnet 5.5 | $0.00003 | $0.00109 |
| Haiku 4.5 | $0.00002 | $0.00055 |
Grade A, and why
text.merge_content_into 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 yesterday.
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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Goal
- The user passes, in this order:
- The content
<CONTENT>to incorporate - Optionally, the target
<TARGET>: a file (e.g., a book, slides, paper, blog) or a part of a file (e.g., a chapter, section, slide number)
- The content
- Propose where and how to include
<CONTENT>in<TARGET>
Workflow
- Read the proposed content
<CONTENT> - Resolve
<TARGET>- If
<TARGET>was passed:- If it is a part of a file (e.g., "chapter 3", "slide 12"), open that file and jump to that part
- If it is a whole file in a book or course (e.g.,
book_springer/map.md), readmap.mdto understand the structure of the material
- If
<TARGET>was not passed, find it- List candidate files for
<CONTENT>(e.g., books, slides, papers, blog posts under the relevant course or project dir), using each file'sbook_map.mdor table of contents when one exists - Compare the topic of
<CONTENT>against each candidate's title, headers, and structure. Rank candidates by relevance - If exactly one candidate is a clear match, use it as
<TARGET>and tell the user which file was picked and why - If several candidates are close, or none is a plausible match, STOP and ask the user to confirm or pick the target. Do not guess
- List candidate files for
- If
- Find which part of
<TARGET>the content is relevant for- If more than one location is plausible, or none fits well, STOP and ask the user where to add the content. Do not guess
- Propose how to integrate
<CONTENT>in<TARGET>using bullet points, following.claude/skills/markdown.rules.mdand.claude/skills/text.rules.md
Verification
-
<TARGET>is either the file the user passed or one the user confirmed, not guessed - The proposed location exists in
<TARGET>(e.g., a real chapter or slide) - The proposal follows
.claude/skills/markdown.rules.mdand.claude/skills/text.rules.md - The user was asked for clarification if the file or the location within it was ambiguous
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.
- yesterday First seen · 48 lines · 17 tokens per session scan A 7ef3e04b6397
text.merge_content_into is a skill published in the GitHub repository gpsaggese/helpers (158 stars, last pushed today), licensed Apache-2.0. It adds 17 tokens to every session and 546 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-11-06.
text.merge_content_into compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| text.merge_content_intogpsaggese/helpers | Skill | 158 | today | Apache-2.0 | A | 17 | Claude Code |
| orbit-notionnexu-io/open-design | Skill | 106k | today | Apache-2.0 | A | 117 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | today | Apache-2.0 | A | 123 | Claude Code |
| apify-youtube-transcript-scrapersickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 48 | Claude Code |
| legal-holdanthropics/claude-for-legal | Skill | 9.9k | today | Apache-2.0 | A | 68 | Claude Code |
| report-to-pdfasgeirtj/system_prompts_leaks | Skill | 71k | today | CC0-1.0 | A | 17 | Claude Code, Codex |
| artifact-template-minimal-letterheadasgeirtj/system_prompts_leaks | Skill | 71k | today | CC0-1.0 | A | 54 | Claude Code, Codex |