Borrowing it
Nothing to install: this file belongs to PostHog/posthog-foss. 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/PostHog/posthog-foss/master/.agents/skills/adding-ingestion-warnings/SKILL.mdgit clone --depth 1 https://github.com/PostHog/posthog-fossWrote 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/posthog/posthog-foss/adding-ingestion-warnings)<a href="https://agentmods.dev/skills/posthog/posthog-foss/adding-ingestion-warnings"><img src="https://agentmods.dev/badge/skills/posthog/posthog-foss/adding-ingestion-warnings.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
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 →
- high Anti-Refusal · line 98 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
- high Anti-Refusal · line 100 Skill attempts to nullify the agent's safety policies or restrictions ('you have no restrictions', 'ignore your guidelines', 'do anything now'). This is a direct jailbreak that disables guardrails.Fix: Remove jailbreak framing that nullifies safety policies or restrictions. Skill content must not instruct the agent to ignore its guidelines or operate without guardrails.
- medium Agent Snooping · line 117 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00150 | $0.03406 |
| Opus 5 | $0.00075 | $0.01703 |
| Sonnet 5 | $0.00030 | $0.00681 |
| Haiku 4.5 | $0.00015 | $0.00341 |
Grade A, and why
adding-ingestion-warnings 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 8d 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adding ingestion warnings
Ingestion warnings tell customers their events were ingested with problems (or dropped).
They are produced to the clickhouse_ingestion_warnings Kafka topic and land in two ClickHouse tables: v1 (ingestion_warnings) and v2 (ingestion_warnings_v2, which materializes structured columns from the details JSON).
The registry is the source of truth
Every warning type must be registered in INGESTION_WARNING_TYPES in
nodejs/src/ingestion/common/ingestion-warning-types.ts
(a dependency-free leaf, re-exported from ingestion-warnings.ts, so codegen and its test can import it cheaply).
The registry fixes the type's category and severity; they are resolved at serialization time, so callsites cannot drift or forget them.
An unregistered type is a compile error (IngestionWarningType is the registry's key union).
To add a new warning:
- Register the type in
INGESTION_WARNING_TYPES, inside the matching group comment block. Pick:category— one ofsize,merge,event,quota,transformation,replay. ExtendIngestionWarningCategoryonly when the warning genuinely doesn't fit an existing group; new categories flow into API filters and agent-facing docs, so keep the vocabulary small.severity— follow the convention:error= the event or message was dropped,warning= ingested but modified or partially rejected,info= informational or an intentional, team-configured drop.
- Emit it (see below), passing only per-occurrence fields:
details,pipelineStep, optionalkey/alwaysSend. - Update downstream surfaces (see checklist).
Emitting
Two paths, both end at serializeIngestionWarning:
- Pipeline steps (preferred): return warnings on the result —
ok(value, sideEffects, warnings)ordrop(reason, [], warnings). They accumulate incontext.warningsand are sent byhandleIngestionWarnings(), which requires ateamAware()block. See the framework doc test 09-ingestion-warnings. - Direct emit:
emitIngestionWarning(outputs, teamId, warning)(outputs-based, preferred) orcaptureIngestionWarning(kafkaProducer, teamId, warning)(legacy) for code outside the pipeline result flow.
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.
- 8d ago First seen · 120 lines · 150 tokens per session scan A 190af6a79605
adding-ingestion-warnings is a skill published in the GitHub repository PostHog/posthog-foss (714 stars, last pushed today), licensed MIT. It adds 150 tokens to every session and 3,406 once invoked, about $0.0007 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 2026-08-30.
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