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 alejandro-ventures/llm-agnostic-icm-framework --skill rss-digestgit clone --depth 1 https://github.com/alejandro-ventures/llm-agnostic-icm-frameworkWrote 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/alejandro-ventures/llm-agnostic-icm-framework/rss-digest)<a href="https://agentmods.dev/skills/alejandro-ventures/llm-agnostic-icm-framework/rss-digest"><img src="https://agentmods.dev/badge/skills/alejandro-ventures/llm-agnostic-icm-framework/rss-digest/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/alejandro-ventures/llm-agnostic-icm-framework/rss-digest"><img src="https://agentmods.dev/badge/skills/alejandro-ventures/llm-agnostic-icm-framework/rss-digest.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 | $0.00036 | $0.00453 |
| Opus 5 | $0.00018 | $0.00227 |
| Sonnet 5 | $0.00007 | $0.00091 |
| Haiku 4.5 | $0.00004 | $0.00045 |
Grade A, and why
rss-digest 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.
What it actually says
rss-digest
Environment
Runs in its own venv at .venv/ (gitignored); deps pinned in requirements.txt. From this
workflow folder:
- Windows PowerShell:
python -m venv .venv; .\.venv\Scripts\Activate.ps1; pip install -r requirements.txt - macOS/Linux:
python3 -m venv .venv && source .venv/bin/activate && pip install -r requirements.txt
Inputs
| Source | Location | Why |
|---|---|---|
| Feed URLs | references/feeds.example.md |
which public feeds to read |
Process
- Parse the feed list; fetch each public feed (read-only).
- Collect items newer than the last run (state in
output/.last_run). - Write
output/digest-<date>.mdvia_core/scripts/sandbox.py(guard_write). - Append a run-log line and a token-tracker entry. (Emailing/sending is out of scope and left to the user.)
Outputs
| Artifact | Location | Format |
|---|---|---|
| Digest | output/digest-<date>.md |
Markdown |
Gates
- None: read-only on the network, writes a single local file. Sending is the user's manual step.
Run log
Append timestamp,rss-digest,digest,<n_items> to output/run-log.csv, then log the run:
python _core/token-tracker/tracker.py log --workflow rss-digest --action digest --source local.
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 · 44 lines · 36 tokens per session scan A 8c4b126315c2
rss-digest is a skill published in the GitHub repository alejandro-ventures/llm-agnostic-icm-framework (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 36 tokens to every session and 453 once invoked, about $0.0002 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.
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