Borrowing it
Nothing to install: this file belongs to causify-ai/helpers. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/causify-ai/helpers/master/.claude/skills/text.merge_content_into/SKILL.mdgit clone --depth 1 https://github.com/causify-ai/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/causify-ai/helpers/text.merge_content_into)<a href="https://agentmods.dev/skills/causify-ai/helpers/text.merge_content_into"><img src="https://agentmods.dev/badge/skills/causify-ai/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/causify-ai/helpers/text.merge_content_into"><img src="https://agentmods.dev/badge/skills/causify-ai/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 | $0.00588 |
| Opus 5.5 | $0.00007 | $0.00235 |
| Sonnet 5.5 | $0.00003 | $0.00118 |
| Haiku 4.5 | $0.00002 | $0.00059 |
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 1mo 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 — 52 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 reference to 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 reference to 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 and it belongs to a book / course (e.g.,
book_springer/map.md), read themap.mdto understand the structure of the material covered
- 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 directory, using each file'sbook_map.mdor table of contents when one exists) - Compare the topic of
<CONTENT>against each candidate's content (title, headers, structure) and rank candidates by relevance - If exactly one candidate is a clear, unambiguous match, use it as
<TARGET>and tell the user which file was picked and why - If several candidates are close in relevance, or none is a plausible match, STOP and ask the user to confirm or pick the target instead of guessing
- List candidate files for
- If
- Find out which part of
<TARGET>the content is relevant for- If more than one location is plausible, or no location fits well, STOP and ask the user to clarify where to add the content instead of guessing
- Propose how to integrate the
<CONTENT>in<TARGET>using bullet points following.claude/skills/markdown.rules.mdand.claude/skills/text.rules.md
Verification
- Confirm
<TARGET>is either the one the user passed or one the user confirmed, rather than guessed - Confirm the proposed location exists in
<TARGET>(e.g., a real chapter or slide) - Confirm the proposal follows
.claude/skills/markdown.rules.mdand.claude/skills/text.rules.md - Confirm the user was asked for clarification if the file or the location within it was ambiguous, rather than either being guessed
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.
- 1mo ago First seen · 52 lines · 17 tokens per session scan A 02ffce712772
text.merge_content_into is a skill published in the GitHub repository causify-ai/helpers (150 stars, last pushed today), licensed Apache-2.0. It adds 17 tokens to every session and 588 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 2026-09-16.
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