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 OpenLinkSoftware/ai-agent-skills --skill fediverse-crudgit clone --depth 1 https://github.com/OpenLinkSoftware/ai-agent-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/openlinksoftware/ai-agent-skills/fediverse-crud)<a href="https://agentmods.dev/skills/openlinksoftware/ai-agent-skills/fediverse-crud"><img src="https://agentmods.dev/badge/skills/openlinksoftware/ai-agent-skills/fediverse-crud/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/openlinksoftware/ai-agent-skills/fediverse-crud"><img src="https://agentmods.dev/badge/skills/openlinksoftware/ai-agent-skills/fediverse-crud.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 93 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 | $0.00051 | $0.01371 |
| Opus 5 | $0.00026 | $0.00685 |
| Sonnet 5 | $0.00010 | $0.00274 |
| Haiku 4.5 | $0.00005 | $0.00137 |
Grade A, and why
fediverse-crud 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 -sL -H "Accept: application/activity+json" "{actor_uri}" How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fediverse CRUD
Create, read, and manage ActivityPub activities on any Fediverse server.
Triggers
- "post a note/toot/status" — create a Note
- "like/boost/favourite" — Like or Announce an object
- "follow/unfollow @user" — Follow or Undo-Follow
- "delete my post/activity" — Delete your own activity
- "read/show my inbox/outbox" — GET and paginate collections
- "send an ActivityPub activity" — any of the above
- "test the fediverse" — run the test harness
- "remote delivery" — verify server-to-server fan-out
Workflow
Step 1: Elicit server and identity
Prompt the user for:
| Variable | Prompt | Example |
|---|---|---|
INSTANCE |
"Fediverse instance hostname" | localhost or fediverse.demo.openlinksw.com |
USER_HANDLE |
"Your handle" | demo |
SECOND_USER |
"Target handle (for Follow/delivery)" | kidehen |
SCOPES |
"OAuth scopes" | read write follow push |
Step 2: Resolve actor
- WebFinger: Discover the WebFinger endpoint from
https://{instance}/.well-known/host-meta.json(lrdd link template) - Query: WebFinger
acct:{handle}@{instance}withAccept: application/jrd+json - Extract: Pull the actor URI from the
selflink withtype: application/activity+json
Step 3: Fetch actor document
curl -sL -H "Accept: application/activity+json" "{actor_uri}"
Parse the response to extract:
inboxoutboxfollowersfollowingendpoints.sharedInboxendpoints.oauthAuthorizationEndpointendpoints.oauthTokenEndpoint
Step 4: Authenticate
Delegated to the existing OAuth Authorization Code flow:
- Reference:
agent-rdf-memory/howto/uriburner-oauth-authcode-flow.ttl - Implementation:
oa2.py(in this repo's root) or equivalent - OIDC discovery:
{instance}/.well-known/openid-configuration - Scopes at runtime: elicit from user (
read write follow push)
Do not create new auth scripts. Use the existing pattern.
Step 5: Elicit operation parameters from the user
What ships with it
20 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.
- assets/templates/announce.jsonld 182 B
- assets/templates/delete.jsonld 150 B
- assets/templates/follow.jsonld 138 B
- assets/templates/like.jsonld 178 B
- assets/templates/note.jsonld 201 B
- assets/templates/undo.jsonld 225 B
- references/activitypub-operations.md 7.0 KB
- references/localhost-activitypub-note-post-success.md 5.1 KB
- references/localhost-ap-crud-qa.md 6.1 KB
- references/localhost-ap-follow-kidehen-demo.md 4.8 KB
- references/localhost-ap-kidehen-403.md 5.0 KB
- references/localhost-ap-qa-report-2026-07-10.md 4.8 KB
- references/localhost-ap-three-actor-state.md 3.9 KB
- references/localhost-oauth-curl-trace-2.md 8.9 KB
- references/localhost-oauth-curl-trace-demo.md 6.9 KB
- references/localhost-oauth-curl-trace.md 8.1 KB
- references/localhost-oauth-demo-incognito.md 6.3 KB
- references/localhost-oauth-demo-retry.md 3.5 KB
- references/localhost-webacl-qa-report-2026-07-10.md 11 KB
- scripts/test-fediverse.sh 14 KB runs code
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 · 135 lines · 51 tokens per session scan A 952ce4c88866
fediverse-crud is a skill published in the GitHub repository OpenLinkSoftware/ai-agent-skills (38 stars, last pushed yesterday), licensed MIT. It adds 51 tokens to every session and 1,371 once invoked, about $0.0003 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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