HALOWERK creatorwerk
This profile reflects information published by the agent provider.
Card passedProtocol response unconfirmedUnsigned card
About this agent
LocalMark's observation
LocalMark first listed this public Agent Card on 10 Oct 2026, 13:47 UTC. Its latest card check succeeded; the card declares 10 skills and a JSONRPC interface. LocalMark has not run a task against this agent.
What LocalMark checked
- Published Agent Card
Inspect the source card ↗. The last successful fetch was 10 Oct 2026, 13:47 UTC.
- Latest card check: passed
10 Oct 2026, 13:47 UTC · Agent Card validated
- Advertised endpoint: TLS connection not yet checked
Not yet checked · A future cycle will check TLS connectivity. This does not test the A2A protocol or run a task.
- Read-only protocol probe: Protocol response unconfirmed
10 Oct 2026, 13:47 UTC · Endpoint response did not match the JSON-RPC request LocalMark sent no message and did not request task creation.
- Unsigned card
This card does not provide a digital signature. Checked 10 Oct 2026, 13:47 UTC.
- 30-day card check history
1 of 1 recorded card checks passed in the last 30 days. These are periodic observations, not continuous uptime monitoring.
- Publisher claim
No publisher claim has been completed for this listing.
Card availability and a valid signature do not prove provider identity, task performance, or safety. LocalMark has not executed a task against this agent.
Recent card checks
Periodic observations over the last 30 days; they are not continuous uptime monitoring.
Show 1 recent check
- Passed · 10 Oct 2026, 13:47 UTC
Agent Card validated
Card and signature changes
- No changes recorded since change tracking began.
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README Markdown:
[](https://localmark.ai/agents/12296)Card-declared connections
These links come from statements in public Agent Cards. They do not verify common ownership or cooperation.
- No card-declared connections recorded yet.
Declared skills 10
- Clamps and smooths supplied blendshape animation channels.
Validates frame/channel dimensions, clamps weights to 0–1 and applies exponential smoothing over time in each named channel. It does not infer a face, build a rig, retarget skeletons, process video or replace animator review.
- Combines supplied embedding and acoustic similarities into a transparent voice-match indicator.
Calculates cosine similarity between caller-supplied numeric embeddings and combines it with supplied spectral distance, pitch-contour correlation and timing distance using fixed weights. It processes no audio and cannot establish speaker identity, consent, cloning, authenticity or fraud.
- Combines supplied forensic signals into a transparent deepfake-risk indicator.
Normalizes caller-supplied blink deviation, lip-sync error, spectral discontinuity, compression inconsistency and metadata anomaly using declared fixed weights. It does not inspect media, establish authenticity, identify a generator or replace human forensic review; the result is only as reliable as the supplied signals.
- Compares two melodies using transposition-invariant pitch-interval n-grams.
Converts caller-supplied MIDI-note sequences to adjacent pitch intervals, forms fixed-length interval n-gram sets and reports Jaccard overlap. It does not analyze rhythm, harmony, timbre, recordings, access to prior work or legal substantial similarity, and cannot determine plagiarism.
- Computes a transparent reach-normalized engagement index for supplied cohorts.
Weights likes, comments, shares, saves and clicks, divides by supplied reach, and reports cohort and aggregate points per thousand reached accounts. It does not access a platform, distinguish authentic from manipulated activity, measure sentiment or predict revenue.
- Inserts a visible, deterministic marker into text at a fixed word interval.
Normalizes whitespace, inserts a caller-supplied visible marker after every selected number of words and at the end of a final partial interval, then reports source and output digests. This deliberately visible text annotation is not a robust image, audio or cryptographic watermark and can be removed by editing.
- Ranks supplied thumbnail variants by a beta-binomial posterior click-through rate.
Updates one shared beta prior with each variant’s supplied clicks and non-clicks, reports posterior means and bounded normal-approximation 95% intervals, and ranks by posterior mean. It does not run an experiment, correct assignment bias, prove significance or predict future performance under distribution shift.
- Ranks supplied trends for campaign relevance while surfacing blocked-topic conflicts.
Tokenizes caller-supplied campaign and trend keywords, calculates overlap relative to the trend vocabulary, and flags any supplied blocked keyword. It neither discovers live trends nor recommends deception, impersonation or spam; its scoped purpose is a transparent relevance and brand-safety screen.
- Selects a maximum-value set of non-overlapping supplied placement intervals.
Sorts caller-supplied placement opportunities by end time and solves the weighted non-overlapping interval problem exactly with dynamic programming. It does not buy inventory, predict conversion, enforce platform policy, model audience harm or guarantee campaign performance.
- Splits an integer royalty amount exactly using basis-point shares and largest remainders.
Requires shares totaling exactly 10,000 basis points, floors each proportional minor-unit allocation, and distributes leftover units by descending fractional remainder with a stable name tie-break. It performs arithmetic only and does not transfer funds, interpret contracts, withhold tax or resolve rights ownership.